Pandas Profiling Report

Dataset statistics

Number of variables	30
Number of observations	2872
Missing cells	6354
Missing cells (%)	7.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	673.2 KiB
Average record size in memory	240.0 B

Variable types

Numeric	9
Categorical	21

Alerts

`url` has a high cardinality: 2872 distinct values	High cardinality
`name` has a high cardinality: 1959 distinct values	High cardinality
`airtime` has a high cardinality: 53 distinct values	High cardinality
`airstamp` has a high cardinality: 504 distinct values	High cardinality
`image` has a high cardinality: 626 distinct values	High cardinality
`summary` has a high cardinality: 808 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 584 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 582 distinct values	High cardinality
`_embedded_show_genres` has a high cardinality: 151 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 374 distinct values	High cardinality
`_embedded_show_ended` has a high cardinality: 96 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 529 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 512 distinct values	High cardinality
`_links_self_href` has a high cardinality: 131 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_status`	High correlation
`_embedded_show_webChannel` is highly correlated with `_embedded_show_type` and 3 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_webChannel`	High correlation
`airtime` is highly correlated with `_embedded_show_webChannel` and 1 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_ended` and 1 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_webChannel`	High correlation
`_embedded_show_dvdCountry` is highly correlated with `airtime`	High correlation
`id` is highly correlated with `_embedded_show_id` and 3 other fields	High correlation
`season` is highly correlated with `number` and 6 other fields	High correlation
`number` is highly correlated with `season` and 9 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_language` and 2 other fields	High correlation
`airtime` is highly correlated with `number` and 11 other fields	High correlation
`runtime` is highly correlated with `season` and 8 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 11 other fields	High correlation
`_embedded_show_type` is highly correlated with `season` and 10 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_status` is highly correlated with `number` and 4 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 9 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `season` and 8 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 11 other fields	High correlation
`_embedded_show_weight` is highly correlated with `airtime` and 5 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `airtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `airtime` and 5 other fields	High correlation
`_embedded_show_webChannel` is highly correlated with `id` and 14 other fields	High correlation
`number` has 80 (2.8%) missing values	Missing
`runtime` has 222 (7.7%) missing values	Missing
`image` has 2246 (78.2%) missing values	Missing
`_embedded_show_runtime` has 880 (30.6%) missing values	Missing
`_embedded_show_averageRuntime` has 158 (5.5%) missing values	Missing
`_embedded_show_webChannel` has 2768 (96.4%) missing values	Missing
`url` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:24:59.054154
Analysis finished	2022-05-10 02:26:48.662652
Duration	1 minute and 49.61 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	2872
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2025744.896

Minimum	1732625
Maximum	2324433
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	1732625
5-th percentile	1961159.55
Q1	1978094.75
median	1988998
Q3	2032714.75
95-th percentile	2236493.45
Maximum	2324433
Range	591808
Interquartile range (IQR)	54620

Descriptive statistics

Standard deviation	85680.3243
Coefficient of variation (CV)	0.04229571278
Kurtosis	3.032245121
Mean	2025744.896
Median Absolute Deviation (MAD)	12862.5
Skewness	1.916039619
Sum	5817939342
Variance	7341117972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1979824	1	< 0.1%
2007750	1	< 0.1%
1998543	1	< 0.1%
2197287	1	< 0.1%
2197597	1	< 0.1%
2211137	1	< 0.1%
2239610	1	< 0.1%
2318109	1	< 0.1%
1989338	1	< 0.1%
1990723	1	< 0.1%
Other values (2862)	2862	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1732625	1	< 0.1%
1806590	1	< 0.1%
1864578	1	< 0.1%
1910446	1	< 0.1%
1910447	1	< 0.1%
1910448	1	< 0.1%
1910449	1	< 0.1%
1920059	1	< 0.1%
1920060	1	< 0.1%
1920061	1	< 0.1%

Value	Count	Frequency (%)
2324433	1	< 0.1%
2324432	1	< 0.1%
2324430	1	< 0.1%
2324429	1	< 0.1%
2324428	1	< 0.1%
2324427	1	< 0.1%
2324426	1	< 0.1%
2324425	1	< 0.1%
2324424	1	< 0.1%
2324423	1	< 0.1%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	2872
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	1
https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-5	1
https://www.tvmaze.com/episodes/1998543/love-script-1x04-episode-4	1
https://www.tvmaze.com/episodes/2197287/struggle-meals-1x11-going-with-the-grain	1
https://www.tvmaze.com/episodes/2197597/peace-of-mind-with-taraji-1x03-surviving-mental-breakdowns-with-tamar-braxton	1
Other values (2867)	2867

Length

Max length	174
Median length	141
Mean length	80.28447075
Min length	51

Characters and Unicode

Total characters	230577
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2872 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16
2nd row	https://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2
3rd row	https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita
4th row	https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9
5th row	https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	1	< 0.1%
https://www.tvmaze.com/episodes/2007750/stand-up-autsajd-1x10-filipp-voronin-499-iz-5	1	< 0.1%
https://www.tvmaze.com/episodes/1998543/love-script-1x04-episode-4	1	< 0.1%
https://www.tvmaze.com/episodes/2197287/struggle-meals-1x11-going-with-the-grain	1	< 0.1%
https://www.tvmaze.com/episodes/2197597/peace-of-mind-with-taraji-1x03-surviving-mental-breakdowns-with-tamar-braxton	1	< 0.1%
https://www.tvmaze.com/episodes/2211137/tunelis-1x04-episode-4	1	< 0.1%
https://www.tvmaze.com/episodes/2239610/scishow-kids-2020-12-21-whats-it-like-to-live-underground	1	< 0.1%
https://www.tvmaze.com/episodes/2318109/bride-of-beirut-2x53-episode-53	1	< 0.1%
https://www.tvmaze.com/episodes/1989338/meet-me-outside-1x01-reservations	1	< 0.1%
https://www.tvmaze.com/episodes/1990723/sj-returns-4x85-episode-85	1	< 0.1%
Other values (2862)	2862	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	1	< 0.1%
https://www.tvmaze.com/episodes/1972603/marvels-storyboards-2x04-nelson-figueroa-his-baseball-origin-story	1	< 0.1%
https://www.tvmaze.com/episodes/1977518/alex-og-aune-1x02-brothers-in-bleik	1	< 0.1%
https://www.tvmaze.com/episodes/2161414/mafia-nights-1x03-bazy-swm-grwh-awl	1	< 0.1%
https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita	1	< 0.1%
https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9	1	< 0.1%
https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80	1	< 0.1%
https://www.tvmaze.com/episodes/2315116/sono-koi-mousukoshi-atatamemasuka-1x05-episode-5	1	< 0.1%
https://www.tvmaze.com/episodes/1973538/please-wait-brother-1x17-episode-17	1	< 0.1%
https://www.tvmaze.com/episodes/1973539/please-wait-brother-1x18-episode-18	1	< 0.1%
Other values (2862)	2862	99.7%

Most occurring characters

Value	Count	Frequency (%)
e	19722	8.6%
-	17868	7.7%
s	14615	6.3%
/	14360	6.2%
t	14034	6.1%
o	12242	5.3%
w	9757	4.2%
a	9421	4.1%
i	8969	3.9%
p	8310	3.6%
Other values (30)	101279	43.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	156749	68.0%
Decimal Number	32984	14.3%
Other Punctuation	22976	10.0%
Dash Punctuation	17868	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	19722	12.6%
s	14615	9.3%
t	14034	9.0%
o	12242	7.8%
w	9757	6.2%
a	9421	6.0%
i	8969	5.7%
p	8310	5.3%
m	8018	5.1%
d	6538	4.2%
Other values (16)	45123	28.8%

Decimal Number

Value	Count	Frequency (%)
1	7155	21.7%
0	4626	14.0%
2	4591	13.9%
9	3958	12.0%
8	2289	6.9%
3	2240	6.8%
7	2228	6.8%
4	2010	6.1%
5	1965	6.0%
6	1922	5.8%

Other Punctuation

Value	Count	Frequency (%)
/	14360	62.5%
.	5744	25.0%
:	2872	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	17868	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	156749	68.0%
Common	73828	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	19722	12.6%
s	14615	9.3%
t	14034	9.0%
o	12242	7.8%
w	9757	6.2%
a	9421	6.0%
i	8969	5.7%
p	8310	5.3%
m	8018	5.1%
d	6538	4.2%
Other values (16)	45123	28.8%

Common

Value	Count	Frequency (%)
-	17868	24.2%
/	14360	19.5%
1	7155	9.7%
.	5744	7.8%
0	4626	6.3%
2	4591	6.2%
9	3958	5.4%
:	2872	3.9%
8	2289	3.1%
3	2240	3.0%
Other values (4)	8125	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	230577	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	19722	8.6%
-	17868	7.7%
s	14615	6.3%
/	14360	6.2%
t	14034	6.1%
o	12242	5.3%
w	9757	4.2%
a	9421	4.1%
i	8969	3.9%
p	8310	3.6%
Other values (30)	101279	43.9%

name
Categorical

HIGH CARDINALITY

Distinct	1959
Distinct (%)	68.2%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

Episode 1	61
Episode 2	60
Episode 5	60
Episode 3	59
Episode 4	57
Other values (1954)	2575

Length

Max length	100
Median length	95
Mean length	18.3520195
Min length	1

Characters and Unicode

Total characters	52707
Distinct characters	275
Distinct categories	17 ?
Distinct scripts	6 ?
Distinct blocks	10 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1858 ?
Unique (%)	64.7%

Sample

1st row	Chanyeol's Episode 16
2nd row	Серия 2
3rd row	Лолита
4th row	Episode 9
5th row	Episode 80

Common Values

Value	Count	Frequency (%)
Episode 1	61	2.1%
Episode 2	60	2.1%
Episode 5	60	2.1%
Episode 3	59	2.1%
Episode 4	57	2.0%
Episode 6	56	1.9%
Episode 7	45	1.6%
Episode 8	40	1.4%
Episode 10	34	1.2%
Episode 9	32	1.1%
Other values (1949)	2368	82.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	979	10.3%
the	305	3.2%
	237	2.5%
2	123	1.3%
1	122	1.3%
5	85	0.9%
3	85	0.9%
4	82	0.9%
of	82	0.9%
and	78	0.8%
Other values (3768)	7321	77.1%

Most occurring characters

Value	Count	Frequency (%)
	6628	12.6%
e	4176	7.9%
o	2789	5.3%
i	2762	5.2%
s	2316	4.4%
a	2289	4.3%
r	1930	3.7%
d	1790	3.4%
n	1650	3.1%
t	1604	3.0%
Other values (265)	24773	47.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	33975	64.5%
Uppercase Letter	7563	14.3%
Space Separator	6629	12.6%
Decimal Number	2858	5.4%
Other Punctuation	1083	2.1%
Other Letter	250	0.5%
Dash Punctuation	184	0.3%
Close Punctuation	50	0.1%
Open Punctuation	47	0.1%
Math Symbol	38	0.1%
Other values (7)	30	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4176	12.3%
o	2789	8.2%
i	2762	8.1%
s	2316	6.8%
a	2289	6.7%
r	1930	5.7%
d	1790	5.3%
n	1650	4.9%
t	1604	4.7%
p	1403	4.1%
Other values (83)	11266	33.2%

Other Letter

Value	Count	Frequency (%)
و	20	8.0%
ا	16	6.4%
第	13	5.2%
集	13	5.2%
م	12	4.8%
ر	8	3.2%
ل	8	3.2%
대	7	2.8%
ب	7	2.8%
의	7	2.8%
Other values (61)	139	55.6%

Uppercase Letter

Value	Count	Frequency (%)
E	1268	16.8%
T	572	7.6%
S	471	6.2%
C	347	4.6%
D	329	4.4%
A	317	4.2%
M	310	4.1%
H	308	4.1%
B	299	4.0%
F	276	3.6%
Other values (56)	3066	40.5%

Other Punctuation

Value	Count	Frequency (%)
,	277	25.6%
:	192	17.7%
.	137	12.7%
'	117	10.8%
&	68	6.3%
#	64	5.9%
/	63	5.8%
?	57	5.3%
"	52	4.8%
!	50	4.6%
Other values (3)	6	0.6%

Decimal Number

Value	Count	Frequency (%)
1	643	22.5%
2	606	21.2%
0	338	11.8%
3	274	9.6%
4	218	7.6%
6	185	6.5%
5	176	6.2%
7	147	5.1%
9	136	4.8%
8	135	4.7%

Currency Symbol

Value	Count	Frequency (%)
$	3	37.5%
₴	3	37.5%
£	1	12.5%
¥	1	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	181	98.4%
—	2	1.1%
–	1	0.5%

Math Symbol

Value	Count	Frequency (%)
\|	29	76.3%
~	7	18.4%
×	2	5.3%

Space Separator

Value	Count	Frequency (%)
	6628	> 99.9%
	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	49	98.0%
]	1	2.0%

Open Punctuation

Value	Count	Frequency (%)
(	46	97.9%
[	1	2.1%

Final Punctuation

Value	Count	Frequency (%)
»	8	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	8	100.0%

Other Symbol

Value	Count	Frequency (%)
№	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36194	68.7%
Common	10918	20.7%
Cyrillic	5345	10.1%
Arabic	128	0.2%
Hangul	93	0.2%
Han	29	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4176	11.5%
o	2789	7.7%
i	2762	7.6%
s	2316	6.4%
a	2289	6.3%
r	1930	5.3%
d	1790	4.9%
n	1650	4.6%
t	1604	4.4%
p	1403	3.9%
Other values (79)	13485	37.3%

Cyrillic

Value	Count	Frequency (%)
а	436	8.2%
и	393	7.4%
о	390	7.3%
е	381	7.1%
р	321	6.0%
н	273	5.1%
с	206	3.9%
к	205	3.8%
л	197	3.7%
т	183	3.4%
Other values (61)	2360	44.2%

Common

Value	Count	Frequency (%)
	6628	60.7%
1	643	5.9%
2	606	5.6%
0	338	3.1%
,	277	2.5%
3	274	2.5%
4	218	2.0%
:	192	1.8%
6	185	1.7%
-	181	1.7%
Other values (34)	1376	12.6%

Hangul

Value	Count	Frequency (%)
대	7	7.5%
의	7	7.5%
이	5	5.4%
추	4	4.3%
행	4	4.3%
억	4	4.3%
여	4	4.3%
마	4	4.3%
번	3	3.2%
째	3	3.2%
Other values (33)	48	51.6%

Arabic

Value	Count	Frequency (%)
و	20	15.6%
ا	16	12.5%
م	12	9.4%
ر	8	6.2%
ل	8	6.2%
ب	7	5.5%
د	6	4.7%
ه	6	4.7%
گ	5	3.9%
ن	5	3.9%
Other values (13)	35	27.3%

Han

Value	Count	Frequency (%)
第	13	44.8%
集	13	44.8%
一	1	3.4%
日	1	3.4%
月	1	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46882	88.9%
Cyrillic	5345	10.1%
None	219	0.4%
Arabic	128	0.2%
Hangul	93	0.2%
CJK	29	0.1%
Punctuation	5	< 0.1%
Currency Symbols	3	< 0.1%
Letterlike Symbols	2	< 0.1%
Number Forms	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6628	14.1%
e	4176	8.9%
o	2789	5.9%
i	2762	5.9%
s	2316	4.9%
a	2289	4.9%
r	1930	4.1%
d	1790	3.8%
n	1650	3.5%
t	1604	3.4%
Other values (75)	18948	40.4%

Cyrillic

Value	Count	Frequency (%)
а	436	8.2%
и	393	7.4%
о	390	7.3%
е	381	7.1%
р	321	6.0%
н	273	5.1%
с	206	3.9%
к	205	3.8%
л	197	3.7%
т	183	3.4%
Other values (61)	2360	44.2%

None

Value	Count	Frequency (%)
ö	27	12.3%
ø	25	11.4%
å	24	11.0%
ü	17	7.8%
ó	15	6.8%
í	12	5.5%
é	8	3.7%
»	8	3.7%
«	8	3.7%
ä	7	3.2%
Other values (32)	68	31.1%

Arabic

Value	Count	Frequency (%)
و	20	15.6%
ا	16	12.5%
م	12	9.4%
ر	8	6.2%
ل	8	6.2%
ب	7	5.5%
د	6	4.7%
ه	6	4.7%
گ	5	3.9%
ن	5	3.9%
Other values (13)	35	27.3%

CJK

Value	Count	Frequency (%)
第	13	44.8%
集	13	44.8%
一	1	3.4%
日	1	3.4%
月	1	3.4%

Hangul

Value	Count	Frequency (%)
대	7	7.5%
의	7	7.5%
이	5	5.4%
추	4	4.3%
행	4	4.3%
억	4	4.3%
여	4	4.3%
마	4	4.3%
번	3	3.2%
째	3	3.2%
Other values (33)	48	51.6%

Currency Symbols

Value	Count	Frequency (%)
₴	3	100.0%

Punctuation

Value	Count	Frequency (%)
—	2	40.0%
…	2	40.0%
–	1	20.0%

Letterlike Symbols

Value	Count	Frequency (%)
№	2	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	148.7099582

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	522.9956146
Coefficient of variation (CV)	3.516883609
Kurtosis	8.901424943
Mean	148.7099582
Median Absolute Deviation (MAD)	0
Skewness	3.300611482
Sum	427095
Variance	273524.4129
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
1	1777	61.9%
2	312	10.9%
2020	207	7.2%
3	158	5.5%
4	145	5.0%
5	49	1.7%
7	38	1.3%
6	35	1.2%
18	23	0.8%
9	20	0.7%
Other values (18)	108	3.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1777	61.9%
2	312	10.9%
3	158	5.5%
4	145	5.0%
5	49	1.7%
6	35	1.2%
7	38	1.3%
8	18	0.6%
9	20	0.7%
10	19	0.7%

Value	Count	Frequency (%)
2020	207	7.2%
2019	1	< 0.1%
54	2	0.1%
51	5	0.2%
48	4	0.1%
31	18	0.6%
30	4	0.1%
27	4	0.1%
23	1	< 0.1%
19	6	0.2%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	199
Distinct (%)	7.1%
Missing	80
Missing (%)	2.8%
Infinite	0
Infinite (%)	0.0%
Mean	23.85207736

Minimum	1
Maximum	358
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	20
95-th percentile	83
Maximum	358
Range	357
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	52.9642765
Coefficient of variation (CV)	2.220530971
Kurtosis	23.4816529
Mean	23.85207736
Median Absolute Deviation (MAD)	5
Skewness	4.729151928
Sum	66595
Variance	2805.214585
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	206	7.2%
3	205	7.1%
1	202	7.0%
4	195	6.8%
5	181	6.3%
6	173	6.0%
7	145	5.0%
8	143	5.0%
10	102	3.6%
9	94	3.3%
Other values (189)	1146	39.9%
(Missing)	80	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	202	7.0%
2	206	7.2%
3	205	7.1%
4	195	6.8%
5	181	6.3%
6	173	6.0%
7	145	5.0%
8	143	5.0%
9	94	3.3%
10	102	3.6%

Value	Count	Frequency (%)
358	1	< 0.1%
357	1	< 0.1%
356	1	< 0.1%
355	1	< 0.1%
354	1	< 0.1%
353	1	< 0.1%
352	1	< 0.1%
351	1	< 0.1%
350	1	< 0.1%
349	1	< 0.1%

type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

regular	2792
significant_special	45
insignificant_special	35

Length

Max length	21
Median length	7
Mean length	7.358635097
Min length	7

Characters and Unicode

Total characters	21134
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	2792	97.2%
significant_special	45	1.6%
insignificant_special	35	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	2792	97.2%
significant_special	45	1.6%
insignificant_special	35	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	5584	26.4%
a	2952	14.0%
e	2872	13.6%
g	2872	13.6%
l	2872	13.6%
u	2792	13.2%
i	355	1.7%
n	195	0.9%
s	160	0.8%
c	160	0.8%
Other values (4)	320	1.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21054	99.6%
Connector Punctuation	80	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	5584	26.5%
a	2952	14.0%
e	2872	13.6%
g	2872	13.6%
l	2872	13.6%
u	2792	13.3%
i	355	1.7%
n	195	0.9%
s	160	0.8%
c	160	0.8%
Other values (3)	240	1.1%

Connector Punctuation

Value	Count	Frequency (%)
_	80	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21054	99.6%
Common	80	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	5584	26.5%
a	2952	14.0%
e	2872	13.6%
g	2872	13.6%
l	2872	13.6%
u	2792	13.3%
i	355	1.7%
n	195	0.9%
s	160	0.8%
c	160	0.8%
Other values (3)	240	1.1%

Common

Value	Count	Frequency (%)
_	80	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21134	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	5584	26.4%
a	2952	14.0%
e	2872	13.6%
g	2872	13.6%
l	2872	13.6%
u	2792	13.2%
i	355	1.7%
n	195	0.9%
s	160	0.8%
c	160	0.8%
Other values (4)	320	1.5%

airdate
Categorical

HIGH CORRELATION

Distinct	31
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

2020-12-31	131
2020-12-04	131
2020-12-25	131
2020-12-18	131
2020-12-10	131
Other values (26)	2217

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	28720
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-01
2nd row	2020-12-01
3rd row	2020-12-01
4th row	2020-12-01
5th row	2020-12-01

Common Values

Value	Count	Frequency (%)
2020-12-31	131	4.6%
2020-12-04	131	4.6%
2020-12-25	131	4.6%
2020-12-18	131	4.6%
2020-12-10	131	4.6%
2020-12-11	131	4.6%
2020-12-03	130	4.5%
2020-12-24	115	4.0%
2020-12-30	111	3.9%
2020-12-15	111	3.9%
Other values (21)	1619	56.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-31	131	4.6%
2020-12-04	131	4.6%
2020-12-25	131	4.6%
2020-12-18	131	4.6%
2020-12-10	131	4.6%
2020-12-11	131	4.6%
2020-12-03	130	4.5%
2020-12-24	115	4.0%
2020-12-30	111	3.9%
2020-12-15	111	3.9%
Other values (21)	1619	56.4%

Most occurring characters

Value	Count	Frequency (%)
2	9672	33.7%
0	6844	23.8%
-	5744	20.0%
1	4302	15.0%
3	518	1.8%
4	355	1.2%
8	310	1.1%
5	296	1.0%
7	245	0.9%
6	229	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22976	80.0%
Dash Punctuation	5744	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	9672	42.1%
0	6844	29.8%
1	4302	18.7%
3	518	2.3%
4	355	1.5%
8	310	1.3%
5	296	1.3%
7	245	1.1%
6	229	1.0%
9	205	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	5744	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	28720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	9672	33.7%
0	6844	23.8%
-	5744	20.0%
1	4302	15.0%
3	518	1.8%
4	355	1.2%
8	310	1.1%
5	296	1.0%
7	245	0.9%
6	229	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	9672	33.7%
0	6844	23.8%
-	5744	20.0%
1	4302	15.0%
3	518	1.8%
4	355	1.2%
8	310	1.1%
5	296	1.0%
7	245	0.9%
6	229	0.8%

airtime
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	53
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

nan	2035
20:00	318
12:00	114
06:00	74
10:00	53
Other values (48)	278

Length

Max length	5
Median length	3
Mean length	3.582869081
Min length	3

Characters and Unicode

Total characters	10290
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	0.7%

Sample

1st row	06:00
2nd row	nan
3rd row	nan
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
nan	2035	70.9%
20:00	318	11.1%
12:00	114	4.0%
06:00	74	2.6%
10:00	53	1.8%
21:00	51	1.8%
17:00	22	0.8%
18:00	20	0.7%
19:00	20	0.7%
11:00	16	0.6%
Other values (43)	149	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	2035	70.9%
20:00	318	11.1%
12:00	114	4.0%
06:00	74	2.6%
10:00	53	1.8%
21:00	51	1.8%
17:00	22	0.8%
18:00	20	0.7%
19:00	20	0.7%
11:00	16	0.6%
Other values (43)	149	5.2%

Most occurring characters

Value	Count	Frequency (%)
n	4070	39.6%
0	2101	20.4%
a	2035	19.8%
:	837	8.1%
2	564	5.5%
1	378	3.7%
6	91	0.9%
5	56	0.5%
8	37	0.4%
9	36	0.3%
Other values (3)	85	0.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6105	59.3%
Decimal Number	3348	32.5%
Other Punctuation	837	8.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2101	62.8%
2	564	16.8%
1	378	11.3%
6	91	2.7%
5	56	1.7%
8	37	1.1%
9	36	1.1%
7	35	1.0%
3	33	1.0%
4	17	0.5%

Lowercase Letter

Value	Count	Frequency (%)
n	4070	66.7%
a	2035	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	837	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6105	59.3%
Common	4185	40.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2101	50.2%
:	837	20.0%
2	564	13.5%
1	378	9.0%
6	91	2.2%
5	56	1.3%
8	37	0.9%
9	36	0.9%
7	35	0.8%
3	33	0.8%

Latin

Value	Count	Frequency (%)
n	4070	66.7%
a	2035	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10290	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	4070	39.6%
0	2101	20.4%
a	2035	19.8%
:	837	8.1%
2	564	5.5%
1	378	3.7%
6	91	0.9%
5	56	0.5%
8	37	0.4%
9	36	0.3%
Other values (3)	85	0.8%

airstamp
Categorical

HIGH CARDINALITY

Distinct	504
Distinct (%)	17.5%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

2020-12-04T12:00:00+00:00	89
2020-12-15T12:00:00+00:00	82
2020-12-14T12:00:00+00:00	78
2020-12-25T12:00:00+00:00	75
2020-12-16T12:00:00+00:00	74
Other values (499)	2474

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	71800
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	253 ?
Unique (%)	8.8%

Sample

1st row	2020-11-30T21:00:00+00:00
2nd row	2020-12-01T00:00:00+00:00
3rd row	2020-12-01T00:00:00+00:00
4th row	2020-12-01T02:00:00+00:00
5th row	2020-12-01T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-04T12:00:00+00:00	89	3.1%
2020-12-15T12:00:00+00:00	82	2.9%
2020-12-14T12:00:00+00:00	78	2.7%
2020-12-25T12:00:00+00:00	75	2.6%
2020-12-16T12:00:00+00:00	74	2.6%
2020-12-18T12:00:00+00:00	74	2.6%
2020-12-30T12:00:00+00:00	70	2.4%
2020-12-11T12:00:00+00:00	66	2.3%
2020-12-01T12:00:00+00:00	63	2.2%
2020-12-08T12:00:00+00:00	61	2.1%
Other values (494)	2140	74.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-04t12:00:00+00:00	89	3.1%
2020-12-15t12:00:00+00:00	82	2.9%
2020-12-14t12:00:00+00:00	78	2.7%
2020-12-25t12:00:00+00:00	75	2.6%
2020-12-16t12:00:00+00:00	74	2.6%
2020-12-18t12:00:00+00:00	74	2.6%
2020-12-30t12:00:00+00:00	70	2.4%
2020-12-11t12:00:00+00:00	66	2.3%
2020-12-01t12:00:00+00:00	63	2.2%
2020-12-08t12:00:00+00:00	61	2.1%
Other values (494)	2140	74.5%

Most occurring characters

Value	Count	Frequency (%)
0	30542	42.5%
2	11327	15.8%
:	8616	12.0%
1	6602	9.2%
-	5744	8.0%
T	2872	4.0%
+	2872	4.0%
3	716	1.0%
4	647	0.9%
5	452	0.6%
Other values (4)	1410	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	51696	72.0%
Other Punctuation	8616	12.0%
Dash Punctuation	5744	8.0%
Uppercase Letter	2872	4.0%
Math Symbol	2872	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	30542	59.1%
2	11327	21.9%
1	6602	12.8%
3	716	1.4%
4	647	1.3%
5	452	0.9%
7	423	0.8%
8	345	0.7%
6	341	0.7%
9	301	0.6%

Other Punctuation

Value	Count	Frequency (%)
:	8616	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5744	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	2872	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2872	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	68928	96.0%
Latin	2872	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	30542	44.3%
2	11327	16.4%
:	8616	12.5%
1	6602	9.6%
-	5744	8.3%
+	2872	4.2%
3	716	1.0%
4	647	0.9%
5	452	0.7%
7	423	0.6%
Other values (3)	987	1.4%

Latin

Value	Count	Frequency (%)
T	2872	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	30542	42.5%
2	11327	15.8%
:	8616	12.0%
1	6602	9.2%
-	5744	8.0%
T	2872	4.0%
+	2872	4.0%
3	716	1.0%
4	647	0.9%
5	452	0.6%
Other values (4)	1410	2.0%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	112
Distinct (%)	4.2%
Missing	222
Missing (%)	7.7%
Infinite	0
Infinite (%)	0.0%
Mean	37.94830189

Minimum	1
Maximum	335
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	20
median	32
Q3	45
95-th percentile	91.55
Maximum	335
Range	334
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	30.42884575
Coefficient of variation (CV)	0.8018499969
Kurtosis	18.37190917
Mean	37.94830189
Median Absolute Deviation (MAD)	13
Skewness	3.19248397
Sum	100563
Variance	925.9146536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	474	16.5%
30	178	6.2%
20	133	4.6%
60	129	4.5%
12	85	3.0%
25	81	2.8%
120	77	2.7%
15	67	2.3%
50	59	2.1%
23	59	2.1%
Other values (102)	1308	45.5%
(Missing)	222	7.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	0.2%
2	10	0.3%
3	3	0.1%
4	26	0.9%
5	58	2.0%
6	17	0.6%
7	50	1.7%
8	42	1.5%
9	18	0.6%
10	47	1.6%

Value	Count	Frequency (%)
335	1	< 0.1%
300	4	0.1%
293	1	< 0.1%
240	3	0.1%
213	1	< 0.1%
208	1	< 0.1%
196	1	< 0.1%
188	1	< 0.1%
184	1	< 0.1%
180	7	0.2%

image
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	626
Distinct (%)	100.0%
Missing	2246
Missing (%)	78.2%
Memory size	22.6 KiB

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/407/1018513.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/407/1018513.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737157.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737157.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723252.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723252.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726351.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726351.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724050.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724050.jpg'}	1
Other values (621)	621

Length

Max length	178
Median length	176
Mean length	176.057508
Min length	176

Characters and Unicode

Total characters	110212
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	626 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/715105.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/715105.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710997.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710997.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710998.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710998.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710999.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710999.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/407/1018513.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/407/1018513.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737157.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737157.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723252.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723252.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726351.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726351.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724050.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724050.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723540.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723540.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721856.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721856.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720566.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720566.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723198.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723198.jpg'}	1	< 0.1%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723164.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723164.jpg'}	1	< 0.1%
Other values (616)	616	21.4%
(Missing)	2246	78.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	626	25.0%
original	626	25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/284/710998.jpg	1	< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/285/714313.jpg	1	< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/285/714313.jpg	1	< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/286/715032.jpg	1	< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715032.jpg	1	< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/284/710999.jpg	1	< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/284/710999.jpg	1	< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/284/710998.jpg	1	< 0.1%
Other values (1244)	1244	49.7%

Most occurring characters

Value	Count	Frequency (%)
/	8764	8.0%
a	7512	6.8%
t	6886	6.2%
m	6260	5.7%
i	6260	5.7%
s	5634	5.1%
e	5008	4.5%
'	5008	4.5%
o	4382	4.0%
p	4382	4.0%
Other values (28)	50116	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	73868	67.0%
Other Punctuation	20658	18.7%
Decimal Number	11304	10.3%
Space Separator	1878	1.7%
Connector Punctuation	1252	1.1%
Close Punctuation	626	0.6%
Open Punctuation	626	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7512	10.2%
t	6886	9.3%
m	6260	8.5%
i	6260	8.5%
s	5634	7.6%
e	5008	6.8%
o	4382	5.9%
p	4382	5.9%
g	3756	5.1%
c	3756	5.1%
Other values (9)	20032	27.1%

Decimal Number

Value	Count	Frequency (%)
2	2370	21.0%
7	1818	16.1%
8	1534	13.6%
9	992	8.8%
1	964	8.5%
6	870	7.7%
0	850	7.5%
3	824	7.3%
5	550	4.9%
4	532	4.7%

Other Punctuation

Value	Count	Frequency (%)
/	8764	42.4%
'	5008	24.2%
.	3756	18.2%
:	2504	12.1%
,	626	3.0%

Space Separator

Value	Count	Frequency (%)
	1878	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1252	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	626	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	626	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	73868	67.0%
Common	36344	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	8764	24.1%
'	5008	13.8%
.	3756	10.3%
:	2504	6.9%
2	2370	6.5%
	1878	5.2%
7	1818	5.0%
8	1534	4.2%
_	1252	3.4%
9	992	2.7%
Other values (9)	6468	17.8%

Latin

Value	Count	Frequency (%)
a	7512	10.2%
t	6886	9.3%
m	6260	8.5%
i	6260	8.5%
s	5634	7.6%
e	5008	6.8%
o	4382	5.9%
p	4382	5.9%
g	3756	5.1%
c	3756	5.1%
Other values (9)	20032	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110212	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	8764	8.0%
a	7512	6.8%
t	6886	6.2%
m	6260	5.7%
i	6260	5.7%
s	5634	5.1%
e	5008	4.5%
'	5008	4.5%
o	4382	4.0%
p	4382	4.0%
Other values (28)	50116	45.5%

summary
Categorical

HIGH CARDINALITY

Distinct	808
Distinct (%)	28.1%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

nan	2061
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>	3
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>	2
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>	2
<p>The plague has hit London, and as Christmas approaches, Will and Kate are in wave fifteen of state-enforced home confinement together in Will's London lodgings.</p>	1
Other values (803)	803

Length

Max length	1080
Median length	3
Mean length	57.11072423
Min length	3

Characters and Unicode

Total characters	164022
Distinct characters	134
Distinct categories	13 ?
Distinct scripts	4 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	804 ?
Unique (%)	28.0%

Sample

1st row	<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	2061	71.8%
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>	3	0.1%
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>	2	0.1%
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>	2	0.1%
<p>The plague has hit London, and as Christmas approaches, Will and Kate are in wave fifteen of state-enforced home confinement together in Will's London lodgings.</p>	1	< 0.1%
<p>The Wistful Wish's journey comes to a close, but not before one last bit of terror from the deep.</p>	1	< 0.1%
<p>Sanjeev Kohli presents a special festive compilation of some of the best of online comedy from Short Stuff and BBC Scotland's the Social. with clips featuring Farmer Jim Smith, Duncan and Judy Murray, Ashley Storrie and more.</p>	1	< 0.1%
<p>Yun-hsiang becomes trapped in a parallel consciousness. Cheng Wen-liang seeks his uncle's aid in preventing Jui-hsin's vengeful plan.</p><p><br /> </p>	1	< 0.1%
<p>Tregaye Fraser prepares a Sunday feast for her family with love, laughs, stories and great food! She makes her Grandma's Mac and Cheese, Smothered Pork Chops and Collard Greens.</p>	1	< 0.1%
<p>Always alone at school, Yamasato was able to live away from reality by writing his fantasy stories in his notebook. In the story, he is the center of the world, and the heroine, by default, is Ai (Hashimoto Ai), the popular girl at the school. But one day when he opened his notebook, he found the rest of the story he had never written... </p>	1	< 0.1%
Other values (798)	798	27.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	2061	7.4%
the	1411	5.1%
to	909	3.3%
and	831	3.0%
a	718	2.6%
of	517	1.9%
in	349	1.3%
with	292	1.0%
her	281	1.0%
p	236	0.8%
Other values (6998)	20296	72.7%

Most occurring characters

Value	Count	Frequency (%)
	24786	15.1%
e	14546	8.9%
n	12432	7.6%
a	12111	7.4%
t	10070	6.1%
i	8468	5.2%
o	8458	5.2%
s	8130	5.0%
r	7590	4.6%
h	6248	3.8%
Other values (124)	51183	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	123268	75.2%
Space Separator	25067	15.3%
Uppercase Letter	5718	3.5%
Other Punctuation	4959	3.0%
Math Symbol	4320	2.6%
Dash Punctuation	293	0.2%
Decimal Number	291	0.2%
Open Punctuation	47	< 0.1%
Close Punctuation	47	< 0.1%
Currency Symbol	4	< 0.1%
Other values (3)	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14546	11.8%
n	12432	10.1%
a	12111	9.8%
t	10070	8.2%
i	8468	6.9%
o	8458	6.9%
s	8130	6.6%
r	7590	6.2%
h	6248	5.1%
l	4626	3.8%
Other values (51)	30589	24.8%

Uppercase Letter

Value	Count	Frequency (%)
T	530	9.3%
A	510	8.9%
S	494	8.6%
M	384	6.7%
C	379	6.6%
R	304	5.3%
B	271	4.7%
W	235	4.1%
L	223	3.9%
J	221	3.9%
Other values (21)	2167	37.9%

Other Punctuation

Value	Count	Frequency (%)
.	1548	31.2%
,	1270	25.6%
/	1176	23.7%
'	613	12.4%
"	81	1.6%
?	80	1.6%
!	62	1.3%
:	35	0.7%
;	33	0.7%
#	27	0.5%
Other values (5)	34	0.7%

Decimal Number

Value	Count	Frequency (%)
0	69	23.7%
1	62	21.3%
2	50	17.2%
9	31	10.7%
7	28	9.6%
5	15	5.2%
4	13	4.5%
8	11	3.8%
3	7	2.4%
6	5	1.7%

Math Symbol

Value	Count	Frequency (%)
<	2159	50.0%
>	2159	50.0%
+	2	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	255	87.0%
—	36	12.3%
–	2	0.7%

Space Separator

Value	Count	Frequency (%)
	24786	98.9%
	281	1.1%

Currency Symbol

Value	Count	Frequency (%)
£	3	75.0%
$	1	25.0%

Other Letter

Value	Count	Frequency (%)
ㅇ	2	66.7%
ㅍ	1	33.3%

Other Symbol

Value	Count	Frequency (%)
♬	1	50.0%
♥	1	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	47	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	47	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	128888	78.6%
Common	35033	21.4%
Cyrillic	98	0.1%
Hangul	3	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14546	11.3%
n	12432	9.6%
a	12111	9.4%
t	10070	7.8%
i	8468	6.6%
o	8458	6.6%
s	8130	6.3%
r	7590	5.9%
h	6248	4.8%
l	4626	3.6%
Other values (55)	36209	28.1%

Common

Value	Count	Frequency (%)
	24786	70.8%
<	2159	6.2%
>	2159	6.2%
.	1548	4.4%
,	1270	3.6%
/	1176	3.4%
'	613	1.7%
	281	0.8%
-	255	0.7%
"	81	0.2%
Other values (30)	705	2.0%

Cyrillic

Value	Count	Frequency (%)
о	11	11.2%
а	10	10.2%
е	8	8.2%
р	7	7.1%
и	7	7.1%
в	6	6.1%
т	5	5.1%
м	5	5.1%
к	4	4.1%
л	4	4.1%
Other values (17)	31	31.6%

Hangul

Value	Count	Frequency (%)
ㅇ	2	66.7%
ㅍ	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	163541	99.7%
None	330	0.2%
Cyrillic	98	0.1%
Punctuation	48	< 0.1%
Compat Jamo	3	< 0.1%
Misc Symbols	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	24786	15.2%
e	14546	8.9%
n	12432	7.6%
a	12111	7.4%
t	10070	6.2%
i	8468	5.2%
o	8458	5.2%
s	8130	5.0%
r	7590	4.6%
h	6248	3.8%
Other values (74)	50702	31.0%

None

Value	Count	Frequency (%)
	281	85.2%
é	14	4.2%
í	7	2.1%
ó	6	1.8%
£	3	0.9%
ö	3	0.9%
ä	3	0.9%
è	3	0.9%
ê	2	0.6%
å	2	0.6%
Other values (5)	6	1.8%

Punctuation

Value	Count	Frequency (%)
—	36	75.0%
…	7	14.6%
‘	3	6.2%
–	2	4.2%

Cyrillic

Value	Count	Frequency (%)
о	11	11.2%
а	10	10.2%
е	8	8.2%
р	7	7.1%
и	7	7.1%
в	6	6.1%
т	5	5.1%
м	5	5.1%
к	4	4.1%
л	4	4.1%
Other values (17)	31	31.6%

Compat Jamo

Value	Count	Frequency (%)
ㅇ	2	66.7%
ㅍ	1	33.3%

Misc Symbols

Value	Count	Frequency (%)
♬	1	50.0%
♥	1	50.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	584
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46603.32974

Minimum	802
Maximum	61909
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	802
5-th percentile	15250
Q1	44057
median	51914
Q3	52781
95-th percentile	58689
Maximum	61909
Range	61107
Interquartile range (IQR)	8724

Descriptive statistics

Standard deviation	12365.0034
Coefficient of variation (CV)	0.2653244623
Kurtosis	3.116785348
Mean	46603.32974
Median Absolute Deviation (MAD)	2767
Skewness	-1.88133914
Sum	133844763
Variance	152893309.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15250	38	1.3%
55355	32	1.1%
30606	31	1.1%
52104	29	1.0%
52743	28	1.0%
47912	26	0.9%
52421	26	0.9%
50752	24	0.8%
52655	24	0.8%
52806	24	0.8%
Other values (574)	2590	90.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
802	4	0.1%
1596	2	0.1%
1825	5	0.2%
2266	6	0.2%
2504	18	0.6%
2855	1	< 0.1%
3734	1	< 0.1%
4091	3	0.1%
6090	4	0.1%
6097	1	< 0.1%

Value	Count	Frequency (%)
61909	3	0.1%
61755	22	0.8%
61674	2	0.1%
61556	12	0.4%
61536	3	0.1%
61530	4	0.1%
61247	2	0.1%
60949	5	0.2%
60848	12	0.4%
60809	7	0.2%

_embedded_show_url
Categorical

HIGH CARDINALITY

Distinct	584
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

https://www.tvmaze.com/shows/15250/the-young-turks	38
https://www.tvmaze.com/shows/55355/90-day-fiance-extras	32
https://www.tvmaze.com/shows/30606/scishow	31
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	29
https://www.tvmaze.com/shows/52743/the-penalty-zone	28
Other values (579)	2714

Length

Max length	85
Median length	69
Mean length	50.7270195
Min length	38

Characters and Unicode

Total characters	145688
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	114 ?
Unique (%)	4.0%

Sample

1st row	https://www.tvmaze.com/shows/41648/sim-for-you
2nd row	https://www.tvmaze.com/shows/52198/kotiki
3rd row	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
4th row	https://www.tvmaze.com/shows/51336/core-sense
5th row	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/15250/the-young-turks	38	1.3%
https://www.tvmaze.com/shows/55355/90-day-fiance-extras	32	1.1%
https://www.tvmaze.com/shows/30606/scishow	31	1.1%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	29	1.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone	28	1.0%
https://www.tvmaze.com/shows/47912/the-wolf	26	0.9%
https://www.tvmaze.com/shows/52421/you-complete-me	26	0.9%
https://www.tvmaze.com/shows/50752/stjernestov	24	0.8%
https://www.tvmaze.com/shows/52655/the-case-solver	24	0.8%
https://www.tvmaze.com/shows/52806/ultimate-note	24	0.8%
Other values (574)	2590	90.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/15250/the-young-turks	38	1.3%
https://www.tvmaze.com/shows/55355/90-day-fiance-extras	32	1.1%
https://www.tvmaze.com/shows/30606/scishow	31	1.1%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	29	1.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone	28	1.0%
https://www.tvmaze.com/shows/47912/the-wolf	26	0.9%
https://www.tvmaze.com/shows/52421/you-complete-me	26	0.9%
https://www.tvmaze.com/shows/50752/stjernestov	24	0.8%
https://www.tvmaze.com/shows/52655/the-case-solver	24	0.8%
https://www.tvmaze.com/shows/52806/ultimate-note	24	0.8%
Other values (574)	2590	90.2%

Most occurring characters

Value	Count	Frequency (%)
/	14360	9.9%
w	12199	8.4%
t	11618	8.0%
s	11287	7.7%
o	8717	6.0%
e	7945	5.5%
h	7237	5.0%
m	6904	4.7%
a	5961	4.1%
.	5744	3.9%
Other values (30)	53716	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	102982	70.7%
Other Punctuation	22976	15.8%
Decimal Number	14582	10.0%
Dash Punctuation	5148	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	12199	11.8%
t	11618	11.3%
s	11287	11.0%
o	8717	8.5%
e	7945	7.7%
h	7237	7.0%
m	6904	6.7%
a	5961	5.8%
c	3909	3.8%
p	3562	3.5%
Other values (16)	23643	23.0%

Decimal Number

Value	Count	Frequency (%)
5	2831	19.4%
2	1809	12.4%
4	1756	12.0%
1	1457	10.0%
0	1235	8.5%
6	1191	8.2%
3	1189	8.2%
9	1105	7.6%
8	1025	7.0%
7	984	6.7%

Other Punctuation

Value	Count	Frequency (%)
/	14360	62.5%
.	5744	25.0%
:	2872	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	5148	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102982	70.7%
Common	42706	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	12199	11.8%
t	11618	11.3%
s	11287	11.0%
o	8717	8.5%
e	7945	7.7%
h	7237	7.0%
m	6904	6.7%
a	5961	5.8%
c	3909	3.8%
p	3562	3.5%
Other values (16)	23643	23.0%

Common

Value	Count	Frequency (%)
/	14360	33.6%
.	5744	13.5%
-	5148	12.1%
:	2872	6.7%
5	2831	6.6%
2	1809	4.2%
4	1756	4.1%
1	1457	3.4%
0	1235	2.9%
6	1191	2.8%
Other values (4)	4303	10.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	145688	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	14360	9.9%
w	12199	8.4%
t	11618	8.0%
s	11287	7.7%
o	8717	6.0%
e	7945	5.5%
h	7237	5.0%
m	6904	4.7%
a	5961	4.1%
.	5744	3.9%
Other values (30)	53716	36.9%

_embedded_show_name
Categorical

HIGH CARDINALITY

Distinct	582
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

The Young Turks	38
90 Day Fiancé: Extras	32
SciShow	31
Twisted Fate of Love	29
The Penalty Zone	28
Other values (577)	2714

Length

Max length	51
Median length	37
Mean length	15.99651811
Min length	3

Characters and Unicode

Total characters	45942
Distinct characters	171
Distinct categories	9 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	114 ?
Unique (%)	4.0%

Sample

1st row	Sim for You
2nd row	Котики
3rd row	LAB с Антоном Беляевым
4th row	Core Sense
5th row	Wu Shen Zhu Zai

Common Values

Value	Count	Frequency (%)
The Young Turks	38	1.3%
90 Day Fiancé: Extras	32	1.1%
SciShow	31	1.1%
Twisted Fate of Love	29	1.0%
The Penalty Zone	28	1.0%
The Wolf	26	0.9%
You Complete Me	26	0.9%
Ultimate Note	24	0.8%
Stjernestøv	24	0.8%
Youths in the Breeze	24	0.8%
Other values (572)	2590	90.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	433	5.4%
of	183	2.3%
love	123	1.5%
you	76	0.9%
in	64	0.8%
a	55	0.7%
week	46	0.6%
my	45	0.6%
to	44	0.5%
me	42	0.5%
Other values (1201)	6913	86.2%

Most occurring characters

Value	Count	Frequency (%)
	5152	11.2%
e	4513	9.8%
o	2511	5.5%
a	2474	5.4%
n	2260	4.9%
i	2253	4.9%
r	2212	4.8%
t	2009	4.4%
s	1822	4.0%
l	1428	3.1%
Other values (161)	19308	42.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32621	71.0%
Uppercase Letter	7187	15.6%
Space Separator	5152	11.2%
Other Punctuation	625	1.4%
Decimal Number	307	0.7%
Dash Punctuation	30	0.1%
Close Punctuation	8	< 0.1%
Currency Symbol	8	< 0.1%
Open Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4513	13.8%
o	2511	7.7%
a	2474	7.6%
n	2260	6.9%
i	2253	6.9%
r	2212	6.8%
t	2009	6.2%
s	1822	5.6%
l	1428	4.4%
h	1242	3.8%
Other values (74)	9897	30.3%

Uppercase Letter

Value	Count	Frequency (%)
T	841	11.7%
S	632	8.8%
B	478	6.7%
M	421	5.9%
L	399	5.6%
W	399	5.6%
C	382	5.3%
F	356	5.0%
A	314	4.4%
D	303	4.2%
Other values (48)	2662	37.0%

Other Punctuation

Value	Count	Frequency (%)
:	230	36.8%
'	141	22.6%
.	77	12.3%
!	64	10.2%
,	44	7.0%
?	26	4.2%
&	21	3.4%
%	8	1.3%
#	6	1.0%
@	4	0.6%
Other values (2)	4	0.6%

Decimal Number

Value	Count	Frequency (%)
0	99	32.2%
2	72	23.5%
3	33	10.7%
1	32	10.4%
9	32	10.4%
7	15	4.9%
5	10	3.3%
6	8	2.6%
8	4	1.3%
4	2	0.7%

Dash Punctuation

Value	Count	Frequency (%)
-	27	90.0%
–	3	10.0%

Currency Symbol

Value	Count	Frequency (%)
$	4	50.0%
₴	4	50.0%

Space Separator

Value	Count	Frequency (%)
	5152	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37138	80.8%
Common	6134	13.4%
Cyrillic	2502	5.4%
Greek	168	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4513	12.2%
o	2511	6.8%
a	2474	6.7%
n	2260	6.1%
i	2253	6.1%
r	2212	6.0%
t	2009	5.4%
s	1822	4.9%
l	1428	3.8%
h	1242	3.3%
Other values (56)	14414	38.8%

Cyrillic

Value	Count	Frequency (%)
о	235	9.4%
е	191	7.6%
а	177	7.1%
и	164	6.6%
к	144	5.8%
н	140	5.6%
т	135	5.4%
р	127	5.1%
с	104	4.2%
д	68	2.7%
Other values (49)	1017	40.6%

Common

Value	Count	Frequency (%)
	5152	84.0%
:	230	3.7%
'	141	2.3%
0	99	1.6%
.	77	1.3%
2	72	1.2%
!	64	1.0%
,	44	0.7%
3	33	0.5%
1	32	0.5%
Other values (19)	190	3.1%

Greek

Value	Count	Frequency (%)
ς	24	14.3%
έ	16	9.5%
ε	16	9.5%
Χ	8	4.8%
ν	8	4.8%
Ε	8	4.8%
γ	8	4.8%
ώ	8	4.8%
τ	8	4.8%
α	8	4.8%
Other values (7)	56	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43058	93.7%
Cyrillic	2502	5.4%
None	375	0.8%
Currency Symbols	4	< 0.1%
Punctuation	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5152	12.0%
e	4513	10.5%
o	2511	5.8%
a	2474	5.7%
n	2260	5.2%
i	2253	5.2%
r	2212	5.1%
t	2009	4.7%
s	1822	4.2%
l	1428	3.3%
Other values (69)	16424	38.1%

Cyrillic

Value	Count	Frequency (%)
о	235	9.4%
е	191	7.6%
а	177	7.1%
и	164	6.6%
к	144	5.8%
н	140	5.6%
т	135	5.4%
р	127	5.1%
с	104	4.2%
д	68	2.7%
Other values (49)	1017	40.6%

None

Value	Count	Frequency (%)
ø	63	16.8%
é	52	13.9%
å	25	6.7%
ς	24	6.4%
έ	16	4.3%
ε	16	4.3%
ı	11	2.9%
ä	10	2.7%
á	9	2.4%
Ç	8	2.1%
Other values (21)	141	37.6%

Currency Symbols

Value	Count	Frequency (%)
₴	4	100.0%

Punctuation

Value	Count	Frequency (%)
–	3	100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

Scripted	1515
Animation	342
Documentary	304
Reality	247
Talk Show	224
Other values (6)	240

Length

Max length	11
Median length	8
Mean length	8.299442897
Min length	4

Characters and Unicode

Total characters	23836
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Reality
2nd row	Scripted
3rd row	Documentary
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	1515	52.8%
Animation	342	11.9%
Documentary	304	10.6%
Reality	247	8.6%
Talk Show	224	7.8%
Sports	71	2.5%
Variety	63	2.2%
News	56	1.9%
Game Show	42	1.5%
Award Show	6	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
scripted	1515	48.2%
animation	342	10.9%
documentary	304	9.7%
show	274	8.7%
reality	247	7.9%
talk	224	7.1%
sports	71	2.3%
variety	63	2.0%
news	56	1.8%
game	42	1.3%
Other values (2)	8	0.3%

Most occurring characters

Value	Count	Frequency (%)
t	2542	10.7%
i	2509	10.5%
e	2229	9.4%
r	1959	8.2%
S	1860	7.8%
c	1819	7.6%
p	1586	6.7%
d	1521	6.4%
a	1230	5.2%
o	991	4.2%
Other values (18)	5590	23.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20416	85.7%
Uppercase Letter	3146	13.2%
Space Separator	274	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2542	12.5%
i	2509	12.3%
e	2229	10.9%
r	1959	9.6%
c	1819	8.9%
p	1586	7.8%
d	1521	7.5%
a	1230	6.0%
o	991	4.9%
n	990	4.8%
Other values (8)	3040	14.9%

Uppercase Letter

Value	Count	Frequency (%)
S	1860	59.1%
A	348	11.1%
D	304	9.7%
R	247	7.9%
T	224	7.1%
V	63	2.0%
N	56	1.8%
G	42	1.3%
P	2	0.1%

Space Separator

Value	Count	Frequency (%)
	274	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23562	98.9%
Common	274	1.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2542	10.8%
i	2509	10.6%
e	2229	9.5%
r	1959	8.3%
S	1860	7.9%
c	1819	7.7%
p	1586	6.7%
d	1521	6.5%
a	1230	5.2%
o	991	4.2%
Other values (17)	5316	22.6%

Common

Value	Count	Frequency (%)
	274	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23836	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	2542	10.7%
i	2509	10.5%
e	2229	9.4%
r	1959	8.2%
S	1860	7.8%
c	1819	7.6%
p	1586	6.7%
d	1521	6.4%
a	1230	5.2%
o	991	4.2%
Other values (18)	5590	23.5%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	36
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

English	890
Chinese	652
Russian	238
Norwegian	220
Korean	158
Other values (31)	714

Length

Max length	10
Median length	7
Mean length	6.94637883
Min length	3

Characters and Unicode

Total characters	19950
Distinct characters	43
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Korean
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
English	890	31.0%
Chinese	652	22.7%
Russian	238	8.3%
Norwegian	220	7.7%
Korean	158	5.5%
Arabic	66	2.3%
Hindi	64	2.2%
Japanese	60	2.1%
Spanish	60	2.1%
Thai	51	1.8%
Other values (26)	413	14.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	890	31.0%
chinese	652	22.7%
russian	238	8.3%
norwegian	220	7.7%
korean	158	5.5%
arabic	66	2.3%
hindi	64	2.2%
japanese	60	2.1%
spanish	60	2.1%
thai	51	1.8%
Other values (26)	413	14.4%

Most occurring characters

Value	Count	Frequency (%)
n	2586	13.0%
i	2513	12.6%
s	2284	11.4%
e	2029	10.2%
h	1829	9.2%
g	1248	6.3%
a	1223	6.1%
l	986	4.9%
E	890	4.5%
C	652	3.3%
Other values (33)	3710	18.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17109	85.8%
Uppercase Letter	2841	14.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	2586	15.1%
i	2513	14.7%
s	2284	13.3%
e	2029	11.9%
h	1829	10.7%
g	1248	7.3%
a	1223	7.1%
l	986	5.8%
r	603	3.5%
o	475	2.8%
Other values (13)	1333	7.8%

Uppercase Letter

Value	Count	Frequency (%)
E	890	31.3%
C	652	22.9%
R	242	8.5%
N	220	7.7%
K	162	5.7%
T	127	4.5%
S	91	3.2%
H	73	2.6%
A	66	2.3%
D	65	2.3%
Other values (10)	253	8.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19950	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	2586	13.0%
i	2513	12.6%
s	2284	11.4%
e	2029	10.2%
h	1829	9.2%
g	1248	6.3%
a	1223	6.1%
l	986	4.9%
E	890	4.5%
C	652	3.3%
Other values (33)	3710	18.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19950	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	2586	13.0%
i	2513	12.6%
s	2284	11.4%
e	2029	10.2%
h	1829	9.2%
g	1248	6.3%
a	1223	6.1%
l	986	4.9%
E	890	4.5%
C	652	3.3%
Other values (33)	3710	18.6%

_embedded_show_genres
Categorical

HIGH CARDINALITY

Distinct	151
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

[]	696
['Comedy']	259
['Drama', 'Romance']	258
['Drama', 'Comedy', 'Romance']	84
['Drama']	81
Other values (146)	1494

Length

Max length	51
Median length	43
Mean length	17.42235376
Min length	2

Characters and Unicode

Total characters	50037
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.5%

Sample

1st row	[]
2nd row	['Comedy']
3rd row	['Music']
4th row	['Action', 'Anime', 'Science-Fiction']
5th row	['Action', 'Adventure', 'Anime', 'Fantasy']

Common Values

Value	Count	Frequency (%)
[]	696	24.2%
['Comedy']	259	9.0%
['Drama', 'Romance']	258	9.0%
['Drama', 'Comedy', 'Romance']	84	2.9%
['Drama']	81	2.8%
['Drama', 'Romance', 'History']	71	2.5%
['Drama', 'Comedy']	63	2.2%
['Crime']	61	2.1%
['Drama', 'Thriller', 'Mystery']	50	1.7%
['Drama', 'Action', 'Crime']	46	1.6%
Other values (141)	1203	41.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	1063	19.7%
comedy	707	13.1%
	696	12.9%
romance	566	10.5%
crime	274	5.1%
thriller	213	4.0%
mystery	212	3.9%
action	205	3.8%
fantasy	199	3.7%
adventure	173	3.2%
Other values (17)	1075	20.0%

Most occurring characters

Value	Count	Frequency (%)
'	9374	18.7%
a	3398	6.8%
e	2920	5.8%
r	2899	5.8%
[	2872	5.7%
]	2872	5.7%
m	2841	5.7%
	2511	5.0%
,	2511	5.0%
o	1989	4.0%
Other values (28)	15850	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25016	50.0%
Other Punctuation	11885	23.8%
Uppercase Letter	4788	9.6%
Open Punctuation	2872	5.7%
Close Punctuation	2872	5.7%
Space Separator	2511	5.0%
Dash Punctuation	93	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3398	13.6%
e	2920	11.7%
r	2899	11.6%
m	2841	11.4%
o	1989	8.0%
n	1680	6.7%
i	1618	6.5%
y	1564	6.3%
t	1169	4.7%
c	1168	4.7%
Other values (8)	3770	15.1%

Uppercase Letter

Value	Count	Frequency (%)
C	1146	23.9%
D	1067	22.3%
R	566	11.8%
A	527	11.0%
F	439	9.2%
M	330	6.9%
T	241	5.0%
S	206	4.3%
H	201	4.2%
W	30	0.6%
Other values (4)	35	0.7%

Other Punctuation

Value	Count	Frequency (%)
'	9374	78.9%
,	2511	21.1%

Open Punctuation

Value	Count	Frequency (%)
[	2872	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	2872	100.0%

Space Separator

Value	Count	Frequency (%)
	2511	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	93	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29804	59.6%
Common	20233	40.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3398	11.4%
e	2920	9.8%
r	2899	9.7%
m	2841	9.5%
o	1989	6.7%
n	1680	5.6%
i	1618	5.4%
y	1564	5.2%
t	1169	3.9%
c	1168	3.9%
Other values (22)	8558	28.7%

Common

Value	Count	Frequency (%)
'	9374	46.3%
[	2872	14.2%
]	2872	14.2%
	2511	12.4%
,	2511	12.4%
-	93	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	9374	18.7%
a	3398	6.8%
e	2920	5.8%
r	2899	5.8%
[	2872	5.7%
]	2872	5.7%
m	2841	5.7%
	2511	5.0%
,	2511	5.0%
o	1989	4.0%
Other values (28)	15850	31.7%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

Running	1354
Ended	1151
To Be Determined	367

Length

Max length	16
Median length	7
Mean length	7.348537604
Min length	5

Characters and Unicode

Total characters	21105
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Running
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	1354	47.1%
Ended	1151	40.1%
To Be Determined	367	12.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	1354	37.5%
ended	1151	31.9%
to	367	10.2%
be	367	10.2%
determined	367	10.2%

Most occurring characters

Value	Count	Frequency (%)
n	5580	26.4%
d	2669	12.6%
e	2619	12.4%
i	1721	8.2%
R	1354	6.4%
u	1354	6.4%
g	1354	6.4%
E	1151	5.5%
	734	3.5%
T	367	1.7%
Other values (6)	2202	10.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16765	79.4%
Uppercase Letter	3606	17.1%
Space Separator	734	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	5580	33.3%
d	2669	15.9%
e	2619	15.6%
i	1721	10.3%
u	1354	8.1%
g	1354	8.1%
o	367	2.2%
t	367	2.2%
r	367	2.2%
m	367	2.2%

Uppercase Letter

Value	Count	Frequency (%)
R	1354	37.5%
E	1151	31.9%
T	367	10.2%
B	367	10.2%
D	367	10.2%

Space Separator

Value	Count	Frequency (%)
	734	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20371	96.5%
Common	734	3.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	5580	27.4%
d	2669	13.1%
e	2619	12.9%
i	1721	8.4%
R	1354	6.6%
u	1354	6.6%
g	1354	6.6%
E	1151	5.7%
T	367	1.8%
o	367	1.8%
Other values (5)	1835	9.0%

Common

Value	Count	Frequency (%)
	734	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21105	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	5580	26.4%
d	2669	12.6%
e	2619	12.4%
i	1721	8.2%
R	1354	6.4%
u	1354	6.4%
g	1354	6.4%
E	1151	5.5%
	734	3.5%
T	367	1.7%
Other values (6)	2202	10.4%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	55
Distinct (%)	2.8%
Missing	880
Missing (%)	30.6%
Infinite	0
Infinite (%)	0.0%
Mean	38.13704819

Minimum	1
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	20
median	30
Q3	45
95-th percentile	120
Maximum	300
Range	299
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	30.12278227
Coefficient of variation (CV)	0.7898561557
Kurtosis	16.57981774
Mean	38.13704819
Median Absolute Deviation (MAD)	15
Skewness	3.03782089
Sum	75969
Variance	907.382012
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	474	16.5%
30	182	6.3%
20	175	6.1%
60	140	4.9%
25	85	3.0%
120	83	2.9%
15	81	2.8%
10	71	2.5%
50	62	2.2%
40	54	1.9%
Other values (45)	585	20.4%
(Missing)	880	30.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	0.1%
2	10	0.3%
3	2	0.1%
4	18	0.6%
5	41	1.4%
6	5	0.2%
7	39	1.4%
8	29	1.0%
9	7	0.2%
10	71	2.5%

Value	Count	Frequency (%)
300	4	0.1%
240	3	0.1%
180	9	0.3%
130	4	0.1%
120	83	2.9%
90	28	1.0%
66	1	< 0.1%
62	5	0.2%
60	140	4.9%
58	2	0.1%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	88
Distinct (%)	3.2%
Missing	158
Missing (%)	5.5%
Infinite	0
Infinite (%)	0.0%
Mean	36.94841562

Minimum	1
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	18
median	30
Q3	45
95-th percentile	91
Maximum	300
Range	299
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	28.27453987
Coefficient of variation (CV)	0.7652436348
Kurtosis	15.62116496
Mean	36.94841562
Median Absolute Deviation (MAD)	15
Skewness	2.793415014
Sum	100278
Variance	799.4496049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	438	15.3%
30	149	5.2%
60	119	4.1%
20	117	4.1%
25	111	3.9%
50	85	3.0%
12	83	2.9%
15	70	2.4%
120	67	2.3%
10	65	2.3%
Other values (78)	1410	49.1%
(Missing)	158	5.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	0.1%
2	15	0.5%
3	5	0.2%
4	20	0.7%
5	62	2.2%
6	15	0.5%
7	44	1.5%
8	40	1.4%
9	44	1.5%
10	65	2.3%

Value	Count	Frequency (%)
300	4	0.1%
211	3	0.1%
193	1	< 0.1%
190	2	0.1%
188	3	0.1%
181	4	0.1%
180	1	< 0.1%
130	4	0.1%
129	2	0.1%
120	67	2.3%

_embedded_show_premiered
Categorical

HIGH CARDINALITY

Distinct	374
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

2020-12-04	83
2020-12-10	73
2020-12-14	64
2020-11-19	61
2020-11-23	60
Other values (369)	2531

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	28720
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73 ?
Unique (%)	2.5%

Sample

1st row	2019-03-25
2nd row	2020-11-30
3rd row	2019-12-17
4th row	2020-10-13
5th row	2020-03-08

Common Values

Value	Count	Frequency (%)
2020-12-04	83	2.9%
2020-12-10	73	2.5%
2020-12-14	64	2.2%
2020-11-19	61	2.1%
2020-11-23	60	2.1%
2020-12-16	55	1.9%
2020-12-01	54	1.9%
2020-12-07	53	1.8%
2020-12-21	52	1.8%
2020-12-11	49	1.7%
Other values (364)	2268	79.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-04	83	2.9%
2020-12-10	73	2.5%
2020-12-14	64	2.2%
2020-11-19	61	2.1%
2020-11-23	60	2.1%
2020-12-16	55	1.9%
2020-12-01	54	1.9%
2020-12-07	53	1.8%
2020-12-21	52	1.8%
2020-12-11	49	1.7%
Other values (364)	2268	79.0%

Most occurring characters

Value	Count	Frequency (%)
0	7097	24.7%
2	7009	24.4%
-	5744	20.0%
1	4984	17.4%
9	838	2.9%
3	650	2.3%
8	599	2.1%
4	575	2.0%
7	488	1.7%
5	371	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22976	80.0%
Dash Punctuation	5744	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7097	30.9%
2	7009	30.5%
1	4984	21.7%
9	838	3.6%
3	650	2.8%
8	599	2.6%
4	575	2.5%
7	488	2.1%
5	371	1.6%
6	365	1.6%

Dash Punctuation

Value	Count	Frequency (%)
-	5744	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	28720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7097	24.7%
2	7009	24.4%
-	5744	20.0%
1	4984	17.4%
9	838	2.9%
3	650	2.3%
8	599	2.1%
4	575	2.0%
7	488	1.7%
5	371	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7097	24.7%
2	7009	24.4%
-	5744	20.0%
1	4984	17.4%
9	838	2.9%
3	650	2.3%
8	599	2.1%
4	575	2.0%
7	488	1.7%
5	371	1.3%

_embedded_show_ended
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	96
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

nan	1721
2020-12-30	61
2020-12-18	56
2021-01-05	52
2020-12-11	51
Other values (91)	931

Length

Max length	10
Median length	3
Mean length	5.805362117
Min length	3

Characters and Unicode

Total characters	16673
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.5%

Sample

1st row	nan
2nd row	2020-12-11
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	1721	59.9%
2020-12-30	61	2.1%
2020-12-18	56	1.9%
2021-01-05	52	1.8%
2020-12-11	51	1.8%
2020-12-24	49	1.7%
2020-12-16	43	1.5%
2020-12-15	38	1.3%
2020-12-23	38	1.3%
2021-01-07	38	1.3%
Other values (86)	725	25.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	1721	59.9%
2020-12-30	61	2.1%
2020-12-18	56	1.9%
2021-01-05	52	1.8%
2020-12-11	51	1.8%
2020-12-24	49	1.7%
2020-12-16	43	1.5%
2020-12-15	38	1.3%
2020-12-23	38	1.3%
2021-01-07	38	1.3%
Other values (86)	725	25.2%

Most occurring characters

Value	Count	Frequency (%)
2	3498	21.0%
n	3442	20.6%
0	2711	16.3%
-	2302	13.8%
1	2040	12.2%
a	1721	10.3%
3	190	1.1%
4	164	1.0%
5	157	0.9%
8	155	0.9%
Other values (3)	293	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9208	55.2%
Lowercase Letter	5163	31.0%
Dash Punctuation	2302	13.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	3498	38.0%
0	2711	29.4%
1	2040	22.2%
3	190	2.1%
4	164	1.8%
5	157	1.7%
8	155	1.7%
7	142	1.5%
6	98	1.1%
9	53	0.6%

Lowercase Letter

Value	Count	Frequency (%)
n	3442	66.7%
a	1721	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2302	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11510	69.0%
Latin	5163	31.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	3498	30.4%
0	2711	23.6%
-	2302	20.0%
1	2040	17.7%
3	190	1.7%
4	164	1.4%
5	157	1.4%
8	155	1.3%
7	142	1.2%
6	98	0.9%

Latin

Value	Count	Frequency (%)
n	3442	66.7%
a	1721	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16673	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	3498	21.0%
n	3442	20.6%
0	2711	16.3%
-	2302	13.8%
1	2040	12.2%
a	1721	10.3%
3	190	1.1%
4	164	1.0%
5	157	0.9%
8	155	0.9%
Other values (3)	293	1.8%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY

Distinct	529
Distinct (%)	18.4%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

nan	370
https://www.tytnetwork.com	38
https://www.discoveryplus.co.uk/show/90-day-extras	32
https://www.youtube.com/user/scishow/	31
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	29
Other values (524)	2372

Length

Max length	250
Median length	97
Mean length	44.77019499
Min length	3

Characters and Unicode

Total characters	128580
Distinct characters	77
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	3.6%

Sample

1st row	https://www.vlive.tv/video/121637
2nd row	http://epic-media.ru/project/kotiki
3rd row	https://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326
4th row	https://www.bilibili.com/bangumi/media/md28223064
5th row	https://v.qq.com/detail/m/7q544xyrava3vxf.html

Common Values

Value	Count	Frequency (%)
nan	370	12.9%
https://www.tytnetwork.com	38	1.3%
https://www.discoveryplus.co.uk/show/90-day-extras	32	1.1%
https://www.youtube.com/user/scishow/	31	1.1%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	29	1.0%
https://www.iqiyi.com/a_19rrhllpip.html	28	1.0%
https://www.iqiyi.com/lib/m_213579814.html	26	0.9%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	24	0.8%
https://www.iqiyi.com/a_c4m3iuc94t.html	24	0.8%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	24	0.8%
Other values (519)	2246	78.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	370	12.9%
https://www.tytnetwork.com	38	1.3%
https://www.discoveryplus.co.uk/show/90-day-extras	32	1.1%
https://www.youtube.com/user/scishow	31	1.1%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	29	1.0%
https://www.iqiyi.com/a_19rrhllpip.html	28	1.0%
https://www.iqiyi.com/lib/m_213579814.html	26	0.9%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	24	0.8%
https://tv.nrk.no/serie/stjernestoev	24	0.8%
https://www.iqiyi.com/a_nvzsmw0tgx.html	24	0.8%
Other values (518)	2246	78.2%

Most occurring characters

Value	Count	Frequency (%)
/	10475	8.1%
t	9806	7.6%
s	6437	5.0%
e	6266	4.9%
w	5641	4.4%
o	5503	4.3%
.	5302	4.1%
h	4724	3.7%
i	4506	3.5%
a	4233	3.3%
Other values (67)	65687	51.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	84688	65.9%
Other Punctuation	20438	15.9%
Decimal Number	13007	10.1%
Uppercase Letter	7146	5.6%
Dash Punctuation	2028	1.6%
Math Symbol	722	0.6%
Connector Punctuation	551	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	9806	11.6%
s	6437	7.6%
e	6266	7.4%
w	5641	6.7%
o	5503	6.5%
h	4724	5.6%
i	4506	5.3%
a	4233	5.0%
p	4171	4.9%
m	3807	4.5%
Other values (16)	29594	34.9%

Uppercase Letter

Value	Count	Frequency (%)
E	600	8.4%
A	557	7.8%
B	495	6.9%
P	440	6.2%
C	420	5.9%
L	350	4.9%
D	345	4.8%
N	298	4.2%
T	271	3.8%
Y	260	3.6%
Other values (16)	3110	43.5%

Other Punctuation

Value	Count	Frequency (%)
/	10475	51.3%
.	5302	25.9%
:	2748	13.4%
%	1282	6.3%
?	370	1.8%
&	202	1.0%
!	20	0.1%
#	20	0.1%
'	10	< 0.1%
,	9	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	1959	15.1%
1	1713	13.2%
8	1330	10.2%
2	1299	10.0%
9	1292	9.9%
4	1256	9.7%
3	1173	9.0%
5	1082	8.3%
6	998	7.7%
7	905	7.0%

Math Symbol

Value	Count	Frequency (%)
=	663	91.8%
+	43	6.0%
~	16	2.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2028	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	551	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	91834	71.4%
Common	36746	28.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	9806	10.7%
s	6437	7.0%
e	6266	6.8%
w	5641	6.1%
o	5503	6.0%
h	4724	5.1%
i	4506	4.9%
a	4233	4.6%
p	4171	4.5%
m	3807	4.1%
Other values (42)	36740	40.0%

Common

Value	Count	Frequency (%)
/	10475	28.5%
.	5302	14.4%
:	2748	7.5%
-	2028	5.5%
0	1959	5.3%
1	1713	4.7%
8	1330	3.6%
2	1299	3.5%
9	1292	3.5%
%	1282	3.5%
Other values (15)	7318	19.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128580	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	10475	8.1%
t	9806	7.6%
s	6437	5.0%
e	6266	4.9%
w	5641	4.4%
o	5503	4.3%
.	5302	4.1%
h	4724	3.7%
i	4506	3.5%
a	4233	3.3%
Other values (67)	65687	51.1%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	98
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.52332869

Minimum	0
Maximum	100
Zeros	26
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	15
median	28
Q3	56
95-th percentile	91
Maximum	100
Range	100
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	27.71358234
Coefficient of variation (CV)	0.758791253
Kurtosis	-0.6665343253
Mean	36.52332869
Median Absolute Deviation (MAD)	15
Skewness	0.7253158277
Sum	104895
Variance	768.0426461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	200	7.0%
15	124	4.3%
3	114	4.0%
25	90	3.1%
8	88	3.1%
28	79	2.8%
6	73	2.5%
17	70	2.4%
29	68	2.4%
24	63	2.2%
Other values (88)	1903	66.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26	0.9%
1	49	1.7%
2	40	1.4%
3	114	4.0%
4	8	0.3%
5	17	0.6%
6	73	2.5%
7	34	1.2%
8	88	3.1%
9	8	0.3%

Value	Count	Frequency (%)
100	13	0.5%
99	15	0.5%
98	10	0.3%
97	13	0.5%
96	9	0.3%
95	9	0.3%
94	8	0.3%
93	41	1.4%
92	22	0.8%
91	16	0.6%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

nan	2848
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	10
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	8
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}	4
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}	2

Length

Max length	74
Median length	3
Mean length	3.530640669
Min length	3

Characters and Unicode

Total characters	10140
Distinct characters	38
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	2848	99.2%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	10	0.3%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	8	0.3%
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}	4	0.1%
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}	2	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	2848	94.6%
name	24	0.8%
code	24	0.8%
timezone	24	0.8%
ukraine	10	0.3%
ua	10	0.3%
europe/zaporozhye	10	0.3%
asia/seoul	8	0.3%
kr	8	0.3%
of	8	0.3%
Other values (9)	36	1.2%

Most occurring characters

Value	Count	Frequency (%)
n	5762	56.8%
a	2932	28.9%
'	288	2.8%
e	154	1.5%
	138	1.4%
o	112	1.1%
:	72	0.7%
i	60	0.6%
,	56	0.6%
m	50	0.5%
Other values (28)	516	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9384	92.5%
Other Punctuation	440	4.3%
Space Separator	138	1.4%
Uppercase Letter	130	1.3%
Open Punctuation	24	0.2%
Close Punctuation	24	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	5762	61.4%
a	2932	31.2%
e	154	1.6%
o	112	1.2%
i	60	0.6%
m	50	0.5%
r	40	0.4%
c	34	0.4%
z	34	0.4%
p	32	0.3%
Other values (10)	174	1.9%

Uppercase Letter

Value	Count	Frequency (%)
A	24	18.5%
U	22	16.9%
R	20	15.4%
K	18	13.8%
E	10	7.7%
Z	10	7.7%
S	8	6.2%
J	8	6.2%
P	4	3.1%
T	4	3.1%

Other Punctuation

Value	Count	Frequency (%)
'	288	65.5%
:	72	16.4%
,	56	12.7%
/	24	5.5%

Space Separator

Value	Count	Frequency (%)
	138	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	24	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9514	93.8%
Common	626	6.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	5762	60.6%
a	2932	30.8%
e	154	1.6%
o	112	1.2%
i	60	0.6%
m	50	0.5%
r	40	0.4%
c	34	0.4%
z	34	0.4%
p	32	0.3%
Other values (21)	304	3.2%

Common

Value	Count	Frequency (%)
'	288	46.0%
	138	22.0%
:	72	11.5%
,	56	8.9%
{	24	3.8%
/	24	3.8%
}	24	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10140	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	5762	56.8%
a	2932	28.9%
'	288	2.8%
e	154	1.5%
	138	1.4%
o	112	1.1%
:	72	0.7%
i	60	0.6%
,	56	0.6%
m	50	0.5%
Other values (28)	516	5.1%

_embedded_show_summary
Categorical

HIGH CARDINALITY

Distinct	512
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

nan	300
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>	38
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>	32
<p><b>SciShow</b> explores the unexpected. Seven days a week, Hank Green, Michael Aranda, and Olivia Gordon delve into the scientific subjects that defy our expectations and make us even more curious!</p><p>Schedule:</p><p>Sundays — Learn about the amazing topics we can't quite make a stand-alone show about in SciShow List Show!</p><p>Mondays — Tune in for a short Dose about our weird world.</p><p>Tuesdays — Find answers to our most asked Quick Questions.</p><p>Wednesdays — Hank or Michael dives deep into a long-form Infusion episode, or an unscripted talk show or quiz show with a guest!</p><p>Thursday — Another new dose about the wonders of the world.</p><p>Fridays — Learn the latest in science News.</p><p>Saturdays — Get your quick questions answered!</p>	31
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	29
Other values (507)	2442

Length

Max length	1360
Median length	640
Mean length	325.7513928
Min length	3

Characters and Unicode

Total characters	935558
Distinct characters	160
Distinct categories	15 ?
Distinct scripts	5 ?
Distinct blocks	8 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	96 ?
Unique (%)	3.3%

Sample

1st row	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row	nan
3rd row	<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
4th row	<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>
5th row	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>

Common Values

Value	Count	Frequency (%)
nan	300	10.4%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>	38	1.3%
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>	32	1.1%
<p><b>SciShow</b> explores the unexpected. Seven days a week, Hank Green, Michael Aranda, and Olivia Gordon delve into the scientific subjects that defy our expectations and make us even more curious!</p><p>Schedule:</p><p>Sundays — Learn about the amazing topics we can't quite make a stand-alone show about in SciShow List Show!</p><p>Mondays — Tune in for a short Dose about our weird world.</p><p>Tuesdays — Find answers to our most asked Quick Questions.</p><p>Wednesdays — Hank or Michael dives deep into a long-form Infusion episode, or an unscripted talk show or quiz show with a guest!</p><p>Thursday — Another new dose about the wonders of the world.</p><p>Fridays — Learn the latest in science News.</p><p>Saturdays — Get your quick questions answered!</p>	31	1.1%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	29	1.0%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	28	1.0%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	26	0.9%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	26	0.9%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>	24	0.8%
<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>	24	0.8%
Other values (502)	2314	80.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	8774	5.6%
and	5640	3.6%
a	4719	3.0%
of	4499	2.9%
to	4141	2.7%
in	2971	1.9%
is	1749	1.1%
with	1577	1.0%
his	1283	0.8%
that	1146	0.7%
Other values (7182)	119747	76.6%

Most occurring characters

Value	Count	Frequency (%)
	153064	16.4%
e	87696	9.4%
t	59036	6.3%
a	58245	6.2%
n	54494	5.8%
o	54119	5.8%
i	51409	5.5%
s	46622	5.0%
r	44815	4.8%
h	37313	4.0%
Other values (150)	288745	30.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	708956	75.8%
Space Separator	153433	16.4%
Uppercase Letter	27501	2.9%
Other Punctuation	24852	2.7%
Math Symbol	15944	1.7%
Dash Punctuation	2076	0.2%
Decimal Number	1942	0.2%
Format	250	< 0.1%
Open Punctuation	243	< 0.1%
Close Punctuation	243	< 0.1%
Other values (5)	118	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	87696	12.4%
t	59036	8.3%
a	58245	8.2%
n	54494	7.7%
o	54119	7.6%
i	51409	7.3%
s	46622	6.6%
r	44815	6.3%
h	37313	5.3%
l	28626	4.0%
Other values (66)	186581	26.3%

Uppercase Letter

Value	Count	Frequency (%)
T	2763	10.0%
S	2690	9.8%
A	1933	7.0%
W	1474	5.4%
C	1383	5.0%
L	1331	4.8%
H	1318	4.8%
M	1306	4.7%
Y	1194	4.3%
I	1032	3.8%
Other values (24)	11077	40.3%

Other Punctuation

Value	Count	Frequency (%)
,	8954	36.0%
.	7519	30.3%
/	4170	16.8%
'	1900	7.6%
"	893	3.6%
!	495	2.0%
:	360	1.4%
?	302	1.2%
;	126	0.5%
&	54	0.2%
Other values (4)	79	0.3%

Decimal Number

Value	Count	Frequency (%)
0	543	28.0%
1	390	20.1%
2	331	17.0%
9	209	10.8%
3	102	5.3%
5	97	5.0%
8	86	4.4%
4	76	3.9%
7	75	3.9%
6	33	1.7%

Other Letter

Value	Count	Frequency (%)
会	6	12.5%
ス	6	12.5%
タ	6	12.5%
ダ	6	12.5%
ム	6	12.5%
式	6	12.5%
株	6	12.5%
社	6	12.5%

Math Symbol

Value	Count	Frequency (%)
<	7971	50.0%
>	7971	50.0%
+	2	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	1752	84.4%
—	267	12.9%
–	57	2.7%

Space Separator

Value	Count	Frequency (%)
	153064	99.8%
	369	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	237	97.5%
[	6	2.5%

Close Punctuation

Value	Count	Frequency (%)
)	237	97.5%
]	6	2.5%

Currency Symbol

Value	Count	Frequency (%)
$	27	87.1%
₴	4	12.9%

Format

Value	Count	Frequency (%)
‎	250	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	27	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	6	100.0%

Other Symbol

Value	Count	Frequency (%)
✪	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	735617	78.6%
Common	199053	21.3%
Cyrillic	840	0.1%
Han	24	< 0.1%
Katakana	24	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	87696	11.9%
t	59036	8.0%
a	58245	7.9%
n	54494	7.4%
o	54119	7.4%
i	51409	7.0%
s	46622	6.3%
r	44815	6.1%
h	37313	5.1%
l	28626	3.9%
Other values (65)	213242	29.0%

Common

Value	Count	Frequency (%)
	153064	76.9%
,	8954	4.5%
<	7971	4.0%
>	7971	4.0%
.	7519	3.8%
/	4170	2.1%
'	1900	1.0%
-	1752	0.9%
"	893	0.4%
0	543	0.3%
Other values (32)	4316	2.2%

Cyrillic

Value	Count	Frequency (%)
е	81	9.6%
т	79	9.4%
и	76	9.0%
о	73	8.7%
а	58	6.9%
с	55	6.5%
н	48	5.7%
м	48	5.7%
к	33	3.9%
у	32	3.8%
Other values (25)	257	30.6%

Han

Value	Count	Frequency (%)
会	6	25.0%
式	6	25.0%
株	6	25.0%
社	6	25.0%

Katakana

Value	Count	Frequency (%)
ス	6	25.0%
タ	6	25.0%
ダ	6	25.0%
ム	6	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	933408	99.8%
Cyrillic	840	0.1%
Punctuation	639	0.1%
None	607	0.1%
Katakana	30	< 0.1%
CJK	24	< 0.1%
Dingbats	6	< 0.1%
Currency Symbols	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	153064	16.4%
e	87696	9.4%
t	59036	6.3%
a	58245	6.2%
n	54494	5.8%
o	54119	5.8%
i	51409	5.5%
s	46622	5.0%
r	44815	4.8%
h	37313	4.0%
Other values (75)	286595	30.7%

None

Value	Count	Frequency (%)
	369	60.8%
é	46	7.6%
å	24	4.0%
ä	22	3.6%
ø	20	3.3%
ö	15	2.5%
Í	12	2.0%
ü	12	2.0%
ā	11	1.8%
č	10	1.6%
Other values (14)	66	10.9%

Punctuation

Value	Count	Frequency (%)
—	267	41.8%
‎	250	39.1%
–	57	8.9%
…	38	5.9%
‘	27	4.2%

Cyrillic

Value	Count	Frequency (%)
е	81	9.6%
т	79	9.4%
и	76	9.0%
о	73	8.7%
а	58	6.9%
с	55	6.5%
н	48	5.7%
м	48	5.7%
к	33	3.9%
у	32	3.8%
Other values (25)	257	30.6%

Katakana

Value	Count	Frequency (%)
ー	6	20.0%
ス	6	20.0%
タ	6	20.0%
ダ	6	20.0%
ム	6	20.0%

CJK

Value	Count	Frequency (%)
会	6	25.0%
式	6	25.0%
株	6	25.0%
社	6	25.0%

Dingbats

Value	Count	Frequency (%)
✪	6	100.0%

Currency Symbols

Value	Count	Frequency (%)
₴	4	100.0%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	584
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1632409491

Minimum	1602172227
Maximum	1652133529
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.6 KiB

Quantile statistics

Minimum	1602172227
5-th percentile	1608501764
Q1	1613198508
median	1639031907
Q3	1648309597
95-th percentile	1651838647
Maximum	1652133529
Range	49961302
Interquartile range (IQR)	35111089.5

Descriptive statistics

Standard deviation	16657513.12
Coefficient of variation (CV)	0.01020424913
Kurtosis	-1.579898209
Mean	1632409491
Median Absolute Deviation (MAD)	12217465
Skewness	-0.2936496389
Sum	4.688280057 × 10¹²
Variance	2.774727432 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1648190058	38	1.3%
1640112415	32	1.1%
1644762005	31	1.1%
1609535141	29	1.0%
1609799896	28	1.0%
1648217029	26	0.9%
1619633499	26	0.9%
1611436842	24	0.8%
1609118201	24	0.8%
1649178084	24	0.8%
Other values (574)	2590	90.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1602172227	2	0.1%
1603467037	4	0.1%
1604587119	5	0.2%
1604587145	4	0.1%
1606418164	15	0.5%
1607104092	4	0.1%
1607167585	2	0.1%
1607180501	3	0.1%
1607278887	8	0.3%
1607382073	2	0.1%

Value	Count	Frequency (%)
1652133529	2	0.1%
1652126507	3	0.1%
1652117487	2	0.1%
1652117460	1	< 0.1%
1652097920	1	< 0.1%
1652080636	21	0.7%
1652067931	5	0.2%
1652039298	3	0.1%
1652035430	3	0.1%
1652029414	4	0.1%

_links_self_href
Categorical

HIGH CARDINALITY

Distinct	131
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Memory size	22.6 KiB

https://api.tvmaze.com/episodes/1977902	31
https://api.tvmaze.com/episodes/2005761	31
https://api.tvmaze.com/episodes/2013871	31
https://api.tvmaze.com/episodes/2065447	31
https://api.tvmaze.com/episodes/2090654	31
Other values (126)	2717

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	112008
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	31	1.1%
https://api.tvmaze.com/episodes/2005761	31	1.1%
https://api.tvmaze.com/episodes/2013871	31	1.1%
https://api.tvmaze.com/episodes/2065447	31	1.1%
https://api.tvmaze.com/episodes/2090654	31	1.1%
https://api.tvmaze.com/episodes/2090655	31	1.1%
https://api.tvmaze.com/episodes/2169203	31	1.1%
https://api.tvmaze.com/episodes/2312223	31	1.1%
https://api.tvmaze.com/episodes/2312224	31	1.1%
https://api.tvmaze.com/episodes/2312225	31	1.1%
Other values (121)	2562	89.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	31	1.1%
https://api.tvmaze.com/episodes/2312226	31	1.1%
https://api.tvmaze.com/episodes/2324432	31	1.1%
https://api.tvmaze.com/episodes/1995405	31	1.1%
https://api.tvmaze.com/episodes/2007760	31	1.1%
https://api.tvmaze.com/episodes/1985789	31	1.1%
https://api.tvmaze.com/episodes/2039622	31	1.1%
https://api.tvmaze.com/episodes/2039623	31	1.1%
https://api.tvmaze.com/episodes/2324427	31	1.1%
https://api.tvmaze.com/episodes/2324428	31	1.1%
Other values (121)	2562	89.2%

Most occurring characters

Value	Count	Frequency (%)
/	11488	10.3%
p	8616	7.7%
s	8616	7.7%
e	8616	7.7%
t	8616	7.7%
o	5744	5.1%
a	5744	5.1%
i	5744	5.1%
.	5744	5.1%
m	5744	5.1%
Other values (16)	37336	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	71800	64.1%
Other Punctuation	20104	17.9%
Decimal Number	20104	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	8616	12.0%
s	8616	12.0%
e	8616	12.0%
t	8616	12.0%
o	5744	8.0%
a	5744	8.0%
i	5744	8.0%
m	5744	8.0%
h	2872	4.0%
d	2872	4.0%
Other values (3)	8616	12.0%

Decimal Number

Value	Count	Frequency (%)
2	3244	16.1%
9	3203	15.9%
1	2536	12.6%
0	2356	11.7%
3	1755	8.7%
8	1615	8.0%
6	1524	7.6%
4	1361	6.8%
7	1325	6.6%
5	1185	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	11488	57.1%
.	5744	28.6%
:	2872	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	71800	64.1%
Common	40208	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	11488	28.6%
.	5744	14.3%
2	3244	8.1%
9	3203	8.0%
:	2872	7.1%
1	2536	6.3%
0	2356	5.9%
3	1755	4.4%
8	1615	4.0%
6	1524	3.8%
Other values (3)	3871	9.6%

Latin

Value	Count	Frequency (%)
p	8616	12.0%
s	8616	12.0%
e	8616	12.0%
t	8616	12.0%
o	5744	8.0%
a	5744	8.0%
i	5744	8.0%
m	5744	8.0%
h	2872	4.0%
d	2872	4.0%
Other values (3)	8616	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	112008	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	11488	10.3%
p	8616	7.7%
s	8616	7.7%
e	8616	7.7%
t	8616	7.7%
o	5744	5.1%
a	5744	5.1%
i	5744	5.1%
.	5744	5.1%
m	5744	5.1%
Other values (16)	37336	33.3%

_embedded_show_webChannel
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	36
Distinct (%)	34.6%
Missing	2768
Missing (%)	96.4%
Memory size	22.6 KiB

{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}	16
{'id': 330, 'name': 'HBO Nordic', 'country': None, 'officialSite': None}	8
{'id': 238, 'name': 'NRK TV', 'country': {'name': 'Norway', 'code': 'NO', 'timezone': 'Europe/Oslo'}, 'officialSite': None}	7
{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}	6
{'id': 118, 'name': 'Youku', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': None}	6
Other values (31)	61

Length

Max length	163
Median length	142
Mean length	114.3365385
Min length	67

Characters and Unicode

Total characters	11891
Distinct characters	70
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	13.5%

Sample

1st row	{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}
2nd row	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
3rd row	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
4th row	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
5th row	{'id': 160, 'name': 'NJPW World', 'country': {'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}, 'officialSite': None}

Common Values

Value	Count	Frequency (%)
{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}	16	0.6%
{'id': 330, 'name': 'HBO Nordic', 'country': None, 'officialSite': None}	8	0.3%
{'id': 238, 'name': 'NRK TV', 'country': {'name': 'Norway', 'code': 'NO', 'timezone': 'Europe/Oslo'}, 'officialSite': None}	7	0.2%
{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}	6	0.2%
{'id': 118, 'name': 'Youku', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': None}	6	0.2%
{'id': 327, 'name': 'TV 2 Play', 'country': {'name': 'Norway', 'code': 'NO', 'timezone': 'Europe/Oslo'}, 'officialSite': None}	6	0.2%
{'id': 377, 'name': 'ATRESplayer PREMIUM', 'country': {'name': 'Spain', 'code': 'ES', 'timezone': 'Europe/Madrid'}, 'officialSite': None}	4	0.1%
{'id': 226, 'name': 'Mango TV', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://w.mgtv.com/'}	4	0.1%
{'id': 71, 'name': 'BBC Three', 'country': {'name': 'United Kingdom', 'code': 'GB', 'timezone': 'Europe/London'}, 'officialSite': 'https://www.bbc.co.uk/bbcthree'}	4	0.1%
{'id': 379, 'name': 'Shahid', 'country': None, 'officialSite': None}	4	0.1%
Other values (26)	39	1.4%
(Missing)	2768	96.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
name	166	13.5%
id	104	8.5%
country	104	8.5%
officialsite	104	8.5%
none	103	8.4%
timezone	62	5.0%
code	62	5.0%
tv	21	1.7%
china	19	1.5%
asia/shanghai	18	1.5%
Other values (134)	467	38.0%

Most occurring characters

Value	Count	Frequency (%)
'	1870	15.7%
	1126	9.5%
e	743	6.2%
o	657	5.5%
:	645	5.4%
i	638	5.4%
n	542	4.6%
a	476	4.0%
t	456	3.8%
,	441	3.7%
Other values (60)	4297	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6051	50.9%
Other Punctuation	3217	27.1%
Space Separator	1126	9.5%
Uppercase Letter	864	7.3%
Decimal Number	283	2.4%
Open Punctuation	166	1.4%
Close Punctuation	166	1.4%
Connector Punctuation	12	0.1%
Math Symbol	6	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	743	12.3%
o	657	10.9%
i	638	10.5%
n	542	9.0%
a	476	7.9%
t	456	7.5%
c	362	6.0%
m	299	4.9%
u	228	3.8%
d	222	3.7%
Other values (15)	1428	23.6%

Uppercase Letter

Value	Count	Frequency (%)
N	184	21.3%
S	176	20.4%
T	61	7.1%
A	48	5.6%
C	44	5.1%
O	38	4.4%
E	38	4.4%
Y	36	4.2%
U	34	3.9%
R	29	3.4%
Other values (15)	176	20.4%

Decimal Number

Value	Count	Frequency (%)
1	60	21.2%
3	57	20.1%
2	56	19.8%
7	28	9.9%
0	23	8.1%
8	17	6.0%
4	15	5.3%
6	10	3.5%
9	9	3.2%
5	8	2.8%

Other Punctuation

Value	Count	Frequency (%)
'	1870	58.1%
:	645	20.0%
,	441	13.7%
/	173	5.4%
.	88	2.7%

Space Separator

Value	Count	Frequency (%)
	1126	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	166	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	166	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	12	100.0%

Math Symbol

Value	Count	Frequency (%)
+	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6915	58.2%
Common	4976	41.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	743	10.7%
o	657	9.5%
i	638	9.2%
n	542	7.8%
a	476	6.9%
t	456	6.6%
c	362	5.2%
m	299	4.3%
u	228	3.3%
d	222	3.2%
Other values (40)	2292	33.1%

Common

Value	Count	Frequency (%)
'	1870	37.6%
	1126	22.6%
:	645	13.0%
,	441	8.9%
/	173	3.5%
{	166	3.3%
}	166	3.3%
.	88	1.8%
1	60	1.2%
3	57	1.1%
Other values (10)	184	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11891	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	1870	15.7%
	1126	9.5%
e	743	6.2%
o	657	5.5%
:	645	5.4%
i	638	5.4%
n	542	4.6%
a	476	4.0%
t	456	3.8%
,	441	3.7%
Other values (60)	4297	36.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href	_embedded_show_webChannel
0	1979824	https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16	Chanyeol's Episode 16	4.0	16.0	regular	2020-12-01	06:00	2020-11-30T21:00:00+00:00	16.0	None	<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>	41648	https://www.tvmaze.com/shows/41648/sim-for-you	Sim for You	Reality	Korean	[]	Running	16.0	16.0	2019-03-25	nan	https://www.vlive.tv/video/121637	71.0	nan	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>	1.608499e+09	https://api.tvmaze.com/episodes/1977902	None
1	1979222	https://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2	Серия 2	1.0	2.0	regular	2020-12-01	nan	2020-12-01T00:00:00+00:00	12.0	None	nan	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	['Comedy']	Ended	12.0	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	15.0	nan	nan	1.637555e+09	https://api.tvmaze.com/episodes/2015818	None
2	2008027	https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita	Лолита	2.0	6.0	regular	2020-12-01	nan	2020-12-01T00:00:00+00:00	29.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpg'}	nan	52933	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym	LAB с Антоном Беляевым	Documentary	Russian	['Music']	Running	26.0	25.0	2019-12-17	nan	https://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326	15.0	nan	<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>	1.641808e+09	https://api.tvmaze.com/episodes/1964000	None
3	1964565	https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9	Episode 9	1.0	9.0	regular	2020-12-01	10:00	2020-12-01T02:00:00+00:00	24.0	None	nan	51336	https://www.tvmaze.com/shows/51336/core-sense	Core Sense	Animation	Chinese	['Action', 'Anime', 'Science-Fiction']	Running	24.0	24.0	2020-10-13	nan	https://www.bilibili.com/bangumi/media/md28223064	37.0	nan	<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>	1.604587e+09	https://api.tvmaze.com/episodes/1995405	None
4	2052503	https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80	Episode 80	1.0	80.0	regular	2020-12-01	10:00	2020-12-01T02:00:00+00:00	8.0	None	nan	54033	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	Wu Shen Zhu Zai	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	8.0	8.0	2020-03-08	nan	https://v.qq.com/detail/m/7q544xyrava3vxf.html	76.0	nan	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>	1.649423e+09	https://api.tvmaze.com/episodes/2007760	None
5	2315116	https://www.tvmaze.com/episodes/2315116/sono-koi-mousukoshi-atatamemasuka-1x05-episode-5	Episode 5	1.0	5.0	regular	2020-12-01	nan	2020-12-01T03:00:00+00:00	15.0	None	nan	61674	https://www.tvmaze.com/shows/61674/sono-koi-mousukoshi-atatamemasuka	Sono koi Mousukoshi Atatamemasuka	Scripted	Japanese	['Romance']	Ended	15.0	15.0	2020-10-20	2020-12-22	https://www.paravi.jp/static/koisuko	6.0	nan	<p>It's spin-off drama of <b>"Kono Koi Atatamemasu ka"</b></p>	1.650915e+09	https://api.tvmaze.com/episodes/1985789	None
6	1973538	https://www.tvmaze.com/episodes/1973538/please-wait-brother-1x17-episode-17	Episode 17	1.0	17.0	regular	2020-12-01	12:00	2020-12-01T04:00:00+00:00	37.0	None	nan	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	37.0	2020-11-17	2020-12-08	nan	14.0	nan	nan	1.607698e+09	https://api.tvmaze.com/episodes/2039622	None
7	1973539	https://www.tvmaze.com/episodes/1973539/please-wait-brother-1x18-episode-18	Episode 18	1.0	18.0	regular	2020-12-01	12:00	2020-12-01T04:00:00+00:00	37.0	None	nan	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	37.0	2020-11-17	2020-12-08	nan	14.0	nan	nan	1.607698e+09	https://api.tvmaze.com/episodes/2039623	None
8	1984264	https://www.tvmaze.com/episodes/1984264/fearless-whispers-1x51-episode-51	Episode 51	1.0	51.0	regular	2020-12-01	nan	2020-12-01T04:00:00+00:00	60.0	None	nan	52373	https://www.tvmaze.com/shows/52373/fearless-whispers	Fearless Whispers	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	60.0	60.0	2020-11-06	2020-12-01	nan	15.0	nan	<p>A story revolving around a fresh graduate who holds an idealistic view of what's right and wrong, yet realizes that the very institution he chose to serve falls heavily onto a gray area caught in the struggles during chaotic times.</p>	1.607717e+09	https://api.tvmaze.com/episodes/2324427	None
9	2082171	https://www.tvmaze.com/episodes/2082171/ling-jian-zun-4x28-di128ji	第128集	4.0	28.0	regular	2020-12-01	nan	2020-12-01T04:00:00+00:00	10.0	None	nan	55016	https://www.tvmaze.com/shows/55016/ling-jian-zun	Ling Jian Zun	Animation	Chinese	['Anime']	Running	10.0	10.0	2019-01-15	nan	https://v.qq.com/x/cover/2w2legt0g8z26al.html	45.0	nan	<p>The strong man was attacked and returned to his youth. He became the weakest waste young lord. He will never let go of the enemy of the previous life in this life and must make up the regret of the previous life in this life! By the time the Spirit Sword is powerful, the protagonist will be supreme in the three worlds between heaven and earth! If there is someone doesn't obey him, he will kill him with the sword!</p><p><br /> </p>	1.640703e+09	https://api.tvmaze.com/episodes/2324428	None

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href	_embedded_show_webChannel
2862	2234297	https://www.tvmaze.com/episodes/2234297/forteresses-assiegees-batailles-de-legende-1x03-the-siege-of-orleans-joans-fortress	The Siege of Orléans, Joan's Fortress	1.0	3.0	regular	2020-12-31	nan	2020-12-31T17:00:00+00:00	51.0	None	<p>It is the most striking event in the Hundred Year War. Between 1428 and 1429, Orleans was subject to a violent and pitiless siege. Hidden away in the extraordinary walled enclosure, for 7 months, the French resisted an English army that was bent on conquering this strategic city on the Loire River.</p>	59380	https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legende	Forteresses assiégées, batailles de légende	Documentary	French	[]	Running	51.0	52.0	2020-12-31	nan	https://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende	1.0	nan	<p>Built at strategic points, and fitted with impressive fortifications and ingenious systems to counter attacks, fortresses are thought to be impenetrable. And yet, certain skillful warlords have successfully stormed them. How did they manage this?</p><p>By recounting how some of the most remarkable sieges - in ancient times or in medieval history - played out, this series revisits the construction of these megastructures and reveals the different strategies used to lay or to endure a siege. Thanks to CGI, dramatized scenes, and with the help of key experts, it immerses us in the compelling confrontation between the construction genius of the military strategists and the ingenuity of some exceptional warriors.</p>	1.639071e+09	https://api.tvmaze.com/episodes/2234297	None
2863	2236494	https://www.tvmaze.com/episodes/2236494/notruf-hafenkante-15x13-nur-ein-atemzug	Nur ein Atemzug	15.0	13.0	regular	2020-12-31	19:25	2020-12-31T18:25:00+00:00	45.0	None	nan	17046	https://www.tvmaze.com/shows/17046/notruf-hafenkante	Notruf Hafenkante	Scripted	German	['Drama', 'Crime']	Running	45.0	50.0	2007-01-04	nan	https://www.zdf.de/serien/notruf-hafenkante	4.0	nan	nan	1.645352e+09	https://api.tvmaze.com/episodes/2236494	None
2864	1977423	https://www.tvmaze.com/episodes/1977423/goede-tijden-slechte-tijden-31x72-aflevering-6327	Aflevering 6327	31.0	72.0	regular	2020-12-31	20:00	2020-12-31T19:00:00+00:00	23.0	None	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/1977423	None
2865	1976649	https://www.tvmaze.com/episodes/1976649/wwe-nxt-uk-2020-12-31-episode-53	Episode 53	2020.0	53.0	regular	2020-12-31	15:00	2020-12-31T20:00:00+00:00	60.0	None	nan	39053	https://www.tvmaze.com/shows/39053/wwe-nxt-uk	WWE NXT UK	Sports	English	[]	Running	60.0	60.0	2018-10-17	nan	nan	84.0	nan	<p>The one-hour episodes will feature the biggest names from NXT UK, including Pete Dunne, Mark Andrews, Rhea Ripley, Toni Storm, Tyler Bate, Trent Seven and Wolfgang. Joining the NXT UK broadcasting team as backstage interviewer is British broadcasting personality Radzi Chinyanganya, best known for hosting ITV game show "Cannonball," and in his ongoing role as a presenter of the world's longest-running children's TV show, the BBC's "Blue Peter." Calling the action are commentators Nigel McGuinness and Vic Joseph, joined by ring announcer Andy Shepherd and NXT UK General Manager, the legendary Johnny Saint.</p>	1.652005e+09	https://api.tvmaze.com/episodes/1976649	None
2866	2005096	https://www.tvmaze.com/episodes/2005096/carl-webers-the-family-business-2x07-take-no-prisoners	Take No Prisoners	2.0	7.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	None	<p>Brother X has missed on his attempt to kill LC and Chippy. However things are far from over now that he unknowingly has captured a Duncan.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005096	None
2867	2005098	https://www.tvmaze.com/episodes/2005098/carl-webers-the-family-business-2x08-the-nuclear-option	The Nuclear Option	2.0	8.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	None	<p>The war heats up as the Duncans deploy the nuclear option, shutting down HEAT and recruiting allies. Paris finally takes responsibility for her actions.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005098	None
2868	2005099	https://www.tvmaze.com/episodes/2005099/carl-webers-the-family-business-2x09-mothers-and-their-sons	Mothers and Their Sons	2.0	9.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	None	<p>Junior and Sonya make landfall in Cuba. Chippy and Nevada take a trip. Consuela seeks protection from her husband Alejandro. Who is Sage?</p><p> </p><p><br /> </p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005099	None
2869	2005100	https://www.tvmaze.com/episodes/2005100/carl-webers-the-family-business-2x10-i-dont-want-to-lose-my-queen	I Don't Want to Lose My Queen	2.0	10.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	None	<p>Brother X begins to unravel. Sasha and Elijah play an enlightening game of chess. What does Billionaire Alexander Cora want?</p><p> </p><p><br /> </p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005100	None
2870	2005101	https://www.tvmaze.com/episodes/2005101/carl-webers-the-family-business-2x11-deploy-the-drones	Deploy the Drones	2.0	11.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	None	<p>The war between the Duncans and Brother X is finally coming to a conclusion and the Duncans are back to business as usual.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005101	None
2871	2005102	https://www.tvmaze.com/episodes/2005102/carl-webers-the-family-business-2x12-the-hunt-for-brother-x	The Hunt for Brother X	2.0	12.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	None	<p>LC must decide Elijah's fate as his sons hunt down a deranged Brother X. Meanwhile Billionaire Alexander Cora plots against the unsuspecting Duncans to takeover HEAT.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005102	None

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